MacBook Pro (13-inch, 2022)
Geekbench ML Score
6128
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 27 2025 05:54 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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% |
3366
629.9 IPS |
|
|
Image Classification (F16)
|
100% |
2303
431.0 IPS |
|
|
Image Classification (I8)
|
99% |
3501
655.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1621
27.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1612
26.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1577
26.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23414
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25037
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25257
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2773
207.0 IPS |
|
|
Object Detection (F16)
|
100% |
2882
215.1 IPS |
|
|
Object Detection (I8)
|
97% |
2804
209.3 IPS |
|
|
Face Detection (F32)
|
100% |
9353
111.2 IPS |
|
|
Face Detection (F16)
|
98% |
10660
126.7 IPS |
|
|
Face Detection (I8)
|
97% |
10792
128.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16029
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17388
134.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17896
138.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40594
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47058
61.9 IPS |
|
|
Style Transfer (I8)
|
100% |
46176
60.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9017
322.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8572
306.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10304
368.0 IPS |
|
|
Text Classification (F32)
|
100% |
2130
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3485
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3491
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1020
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1074
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1050
19.3 IPS |
