MacBook Pro (13-inch, 2022)
Geekbench ML Score
3690
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 08 2025 06:57 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.30 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1230
230.2 IPS |
|
|
Image Classification (F16)
|
100% |
2371
443.7 IPS |
|
|
Image Classification (I8)
|
99% |
2389
447.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
833
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1129
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
999
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4918
5.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
14154
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14300
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1346
100.5 IPS |
|
|
Object Detection (F16)
|
100% |
2450
182.9 IPS |
|
|
Object Detection (I8)
|
97% |
1295
96.7 IPS |
|
|
Face Detection (F32)
|
100% |
2882
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
4945
58.8 IPS |
|
|
Face Detection (I8)
|
96% |
5693
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4204
32.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10267
79.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10760
83.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17583
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26859
35.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27123
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3914
139.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5273
188.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5294
189.1 IPS |
|
|
Text Classification (F32)
|
100% |
2117
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3419
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3378
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1318
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1682
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1298
23.9 IPS |
