MacBook Pro (13-inch, 2022)
Geekbench ML Score
3368
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 22 2025 07:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.44 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1332
249.3 IPS |
|
|
Image Classification (F16)
|
100% |
1894
354.5 IPS |
|
|
Image Classification (I8)
|
99% |
1933
361.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
602
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
910
15.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
966
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5171
6.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
13009
15.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13519
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1292
96.5 IPS |
|
|
Object Detection (F16)
|
100% |
2182
162.9 IPS |
|
|
Object Detection (I8)
|
97% |
945
70.6 IPS |
|
|
Face Detection (F32)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (F16)
|
97% |
4538
54.0 IPS |
|
|
Face Detection (I8)
|
97% |
5316
63.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5207
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8656
67.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8933
69.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16335
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
28106
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27985
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3547
126.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4558
162.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4908
175.3 IPS |
|
|
Text Classification (F32)
|
100% |
1980
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
3286
4.72 KIPS |
|
|
Text Classification (I8)
|
96% |
2656
3.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1322
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1555
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1323
24.3 IPS |
