HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench AI Score
2359
Single Precision Score
6502
Half Precision Score
10007
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | May 08 2025 01:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx |
| Motherboard | HP 8C15 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
972
180.8 IPS |
|
|
Image Classification (HP)
|
100% |
4522
840.9 IPS |
|
|
Image Classification (Q)
|
100% |
5660
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2915
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4046
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
28354
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
60430
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
3592
284.9 IPS |
|
|
Object Detection (Q)
|
89% |
6824
546.5 IPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
10723
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
22646
269.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3523
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14444
111.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
27313
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11795
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44180
56.8 IPS |
|
|
Style Transfer (Q)
|
98% |
77925
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9661
356.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15838
586.5 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
893
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2173
37.4 IPS |
