MacBook Pro (13-inch, 2022)
Geekbench ML Score
2621
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 21 2025 04:27 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.17 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% |
809
151.5 IPS |
|
|
Image Classification (F16)
|
100% |
1838
343.8 IPS |
|
|
Image Classification (I8)
|
99% |
2042
382.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
618
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
744
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4776
5.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
5885
7.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
6361
7.70 IPS |
|
|
Object Detection (F32)
|
100% |
877
65.5 IPS |
|
|
Object Detection (F16)
|
100% |
2246
167.7 IPS |
|
|
Object Detection (I8)
|
97% |
1114
83.2 IPS |
|
|
Face Detection (F32)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (F16)
|
97% |
5386
64.0 IPS |
|
|
Face Detection (I8)
|
96% |
4460
53.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4446
34.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9678
75.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9404
72.9 IPS |
|
|
Style Transfer (F32)
|
100% |
14461
19.0 IPS |
|
|
Style Transfer (F16)
|
100% |
21251
28.0 IPS |
|
|
Style Transfer (I8)
|
100% |
19638
25.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2933
104.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3602
128.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2452
87.6 IPS |
|
|
Text Classification (F32)
|
100% |
1041
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1799
2.58 KIPS |
|
|
Text Classification (I8)
|
96% |
2552
3.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
885
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
817
15.0 IPS |
|
|
Machine Translation (I8)
|
99% |
961
17.7 IPS |
