MacBook Pro (13-inch, 2022)
Geekbench ML Score
3682
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 24 2025 06:29 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.29 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% |
1213
227.0 IPS |
|
|
Image Classification (F16)
|
100% |
2303
431.0 IPS |
|
|
Image Classification (I8)
|
99% |
2225
416.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
819
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
977
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
986
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6283
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
14527
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14485
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
985
73.5 IPS |
|
|
Object Detection (F16)
|
100% |
2016
150.5 IPS |
|
|
Object Detection (I8)
|
97% |
1293
96.5 IPS |
|
|
Face Detection (F32)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
5328
63.4 IPS |
|
|
Face Detection (I8)
|
96% |
5692
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5432
42.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10729
83.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10476
81.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17523
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28368
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28332
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4003
142.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5060
180.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5187
185.3 IPS |
|
|
Text Classification (F32)
|
100% |
2178
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3391
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3414
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1614
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1328
24.4 IPS |
