MacBook Pro (13-inch, 2022)
Geekbench ML Score
3626
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2025 06:29 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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% |
1332
249.2 IPS |
|
|
Image Classification (F16)
|
100% |
2110
394.8 IPS |
|
|
Image Classification (I8)
|
99% |
2297
429.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
771
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1124
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1178
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6362
7.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
11301
13.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12225
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
1208
90.2 IPS |
|
|
Object Detection (F16)
|
100% |
2290
171.0 IPS |
|
|
Object Detection (I8)
|
97% |
1341
100.1 IPS |
|
|
Face Detection (F32)
|
100% |
3016
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5680
67.5 IPS |
|
|
Face Detection (I8)
|
96% |
5336
63.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5423
42.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9948
77.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8933
69.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16928
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28233
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27813
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3745
133.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4968
177.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4730
168.9 IPS |
|
|
Text Classification (F32)
|
100% |
2069
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3482
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3472
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1206
22.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1479
27.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1233
22.7 IPS |
