MacBook Pro (13-inch, 2022)
Geekbench ML Score
6052
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 04:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3498
654.7 IPS |
|
|
Image Classification (F16)
|
100% |
3508
656.5 IPS |
|
|
Image Classification (I8)
|
99% |
3421
640.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1470
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1495
25.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1463
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23789
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
26006
31.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25224
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2867
214.0 IPS |
|
|
Object Detection (F16)
|
100% |
2910
217.2 IPS |
|
|
Object Detection (I8)
|
97% |
2882
215.2 IPS |
|
|
Face Detection (F32)
|
100% |
9178
109.1 IPS |
|
|
Face Detection (F16)
|
98% |
10849
129.0 IPS |
|
|
Face Detection (I8)
|
97% |
10908
129.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16202
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11235
87.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17562
136.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41174
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47699
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46935
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7050
251.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8773
313.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9586
342.3 IPS |
|
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3450
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3525
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1007
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1170
21.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1000
18.4 IPS |
