MacBook Pro (13-inch, 2022)
Geekbench ML Score
5413
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 16 2025 06:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
3164
592.0 IPS |
|
|
Image Classification (F16)
|
100% |
3214
601.5 IPS |
|
|
Image Classification (I8)
|
99% |
3261
610.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1317
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1310
21.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1247
20.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
18819
22.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
23175
28.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24602
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2134
159.3 IPS |
|
|
Object Detection (F16)
|
100% |
2714
202.6 IPS |
|
|
Object Detection (I8)
|
97% |
2561
191.2 IPS |
|
|
Face Detection (F32)
|
100% |
8607
102.3 IPS |
|
|
Face Detection (F16)
|
98% |
10220
121.5 IPS |
|
|
Face Detection (I8)
|
97% |
10177
121.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
13416
104.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12108
93.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11106
86.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40124
52.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47167
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
46873
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6644
237.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6973
249.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6973
249.0 IPS |
|
|
Text Classification (F32)
|
100% |
2067
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3447
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3425
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
829
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1000
18.4 IPS |
|
|
Machine Translation (I8)
|
99% |
949
17.5 IPS |
