MacBook Pro (13-inch, 2022)
Geekbench ML Score
5658
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 11 2025 08:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
3496
654.1 IPS |
|
|
Image Classification (F16)
|
100% |
3508
656.5 IPS |
|
|
Image Classification (I8)
|
99% |
2010
376.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1105
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1433
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1384
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23333
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25355
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25336
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
2602
194.2 IPS |
|
|
Object Detection (F16)
|
100% |
1742
130.0 IPS |
|
|
Object Detection (I8)
|
97% |
2697
201.4 IPS |
|
|
Face Detection (F32)
|
100% |
8843
105.1 IPS |
|
|
Face Detection (F16)
|
98% |
10447
124.2 IPS |
|
|
Face Detection (I8)
|
97% |
7489
89.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16424
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17764
137.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
16190
125.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40601
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47483
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47972
63.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7088
253.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10253
366.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10601
378.6 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1730
2.49 KIPS |
|
|
Text Classification (I8)
|
96% |
3527
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1075
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1137
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1046
19.2 IPS |
