MacBook Pro (13-inch, 2022)
Geekbench ML Score
3490
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 11 2025 06:19 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.42 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% |
1241
232.3 IPS |
|
|
Image Classification (F16)
|
100% |
2251
421.2 IPS |
|
|
Image Classification (I8)
|
99% |
2163
404.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
771
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1048
17.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
974
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6085
7.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
13444
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13693
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1272
94.9 IPS |
|
|
Object Detection (F16)
|
100% |
2267
169.2 IPS |
|
|
Object Detection (I8)
|
97% |
1123
83.8 IPS |
|
|
Face Detection (F32)
|
100% |
2343
27.9 IPS |
|
|
Face Detection (F16)
|
97% |
4882
58.0 IPS |
|
|
Face Detection (I8)
|
97% |
3962
47.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5075
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9445
73.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10088
78.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13804
18.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27038
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27120
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3471
124.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4876
174.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4752
169.7 IPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3457
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3421
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1258
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1637
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1258
23.1 IPS |
