Mac16,12
Geekbench AI Score
7933
Single Precision Score
9154
Half Precision Score
8644
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 12 2025 06:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4132
768.4 IPS |
|
|
Image Classification (HP)
|
100% |
4306
800.8 IPS |
|
|
Image Classification (Q)
|
96% |
4054
757.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6257
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6620
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6391
103.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22738
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24167
28.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
23606
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4296
340.8 IPS |
|
|
Object Detection (HP)
|
100% |
4738
375.8 IPS |
|
|
Object Detection (Q)
|
92% |
4322
345.0 IPS |
|
|
Face Detection (SP)
|
100% |
11743
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
14392
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
11642
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18718
144.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20646
159.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
18889
147.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49772
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
55659
71.6 IPS |
|
|
Style Transfer (Q)
|
96% |
54141
69.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9882
364.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10546
389.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9204
339.8 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1481
25.6 IPS |
