MacBook Pro (13-inch, 2022)
Geekbench ML Score
5626
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 27 2025 04:45 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.46 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% |
3229
604.3 IPS |
|
|
Image Classification (F16)
|
100% |
2868
536.6 IPS |
|
|
Image Classification (I8)
|
99% |
2875
538.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1172
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1208
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
21090
25.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
23899
28.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
24706
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2805
209.4 IPS |
|
|
Object Detection (F16)
|
100% |
2843
212.2 IPS |
|
|
Object Detection (I8)
|
97% |
2829
211.2 IPS |
|
|
Face Detection (F32)
|
100% |
9094
108.1 IPS |
|
|
Face Detection (F16)
|
98% |
10612
126.2 IPS |
|
|
Face Detection (I8)
|
97% |
10323
122.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15802
122.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17286
134.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17692
137.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40650
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47008
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47237
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6093
217.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7476
267.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5947
212.4 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3497
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3478
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
916
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1053
19.4 IPS |
|
|
Machine Translation (I8)
|
99% |
934
17.2 IPS |
