MacBook Pro (13-inch, 2022)
Geekbench ML Score
5819
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 12 2025 07:40 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 3.30 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% |
3390
634.4 IPS |
|
|
Image Classification (F16)
|
100% |
3314
620.2 IPS |
|
|
Image Classification (I8)
|
99% |
3364
629.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1395
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1411
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1475
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23495
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25070
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24790
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2849
212.7 IPS |
|
|
Object Detection (F16)
|
100% |
2921
218.1 IPS |
|
|
Object Detection (I8)
|
97% |
2831
211.4 IPS |
|
|
Face Detection (F32)
|
100% |
8892
105.7 IPS |
|
|
Face Detection (F16)
|
98% |
10359
123.2 IPS |
|
|
Face Detection (I8)
|
97% |
9953
118.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16249
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17417
135.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
15633
121.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40524
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47094
61.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47143
62.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7157
255.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7388
263.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7285
260.2 IPS |
|
|
Text Classification (F32)
|
100% |
2098
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3374
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3424
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
901
16.6 IPS |
|
|
Machine Translation (I8)
|
99% |
872
16.1 IPS |
