MacBook Pro (13-inch, 2022)
Geekbench ML Score
3635
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 16 2025 06:04 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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% |
1197
224.0 IPS |
|
|
Image Classification (F16)
|
100% |
1927
360.6 IPS |
|
|
Image Classification (I8)
|
99% |
2099
392.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
652
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1047
17.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1089
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6024
7.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
14379
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14121
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1231
91.9 IPS |
|
|
Object Detection (F16)
|
100% |
2298
171.5 IPS |
|
|
Object Detection (I8)
|
97% |
1179
88.0 IPS |
|
|
Face Detection (F32)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (F16)
|
97% |
5690
67.6 IPS |
|
|
Face Detection (I8)
|
96% |
5698
67.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5145
39.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10739
83.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10786
83.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17167
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
26760
35.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27368
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3866
138.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5308
189.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5059
180.7 IPS |
|
|
Text Classification (F32)
|
100% |
1939
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
3403
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3404
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1326
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1660
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1324
24.4 IPS |
