MacBook Pro (13-inch, 2022)
Geekbench ML Score
6099
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 26 2025 06:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3437
643.2 IPS |
|
|
Image Classification (F16)
|
100% |
3502
655.3 IPS |
|
|
Image Classification (I8)
|
99% |
3486
652.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1477
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1415
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22803
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24777
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24726
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2804
209.4 IPS |
|
|
Object Detection (F16)
|
100% |
2850
212.8 IPS |
|
|
Object Detection (I8)
|
97% |
2747
205.1 IPS |
|
|
Face Detection (F32)
|
100% |
8487
100.9 IPS |
|
|
Face Detection (F16)
|
98% |
9947
118.3 IPS |
|
|
Face Detection (I8)
|
97% |
10168
120.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15852
122.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17292
134.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17685
137.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41126
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
46991
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
46916
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8431
301.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7991
285.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9568
341.7 IPS |
|
|
Text Classification (F32)
|
100% |
2144
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3572
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3597
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1104
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1134
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1103
20.3 IPS |
