MacBook Pro (13-inch, 2022)
Geekbench ML Score
3644
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 06:43 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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% |
1221
228.5 IPS |
|
|
Image Classification (F16)
|
100% |
2284
427.4 IPS |
|
|
Image Classification (I8)
|
99% |
2472
462.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
807
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1015
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1030
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5971
7.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
14488
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14432
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1164
86.9 IPS |
|
|
Object Detection (F16)
|
100% |
2273
169.7 IPS |
|
|
Object Detection (I8)
|
97% |
1338
99.9 IPS |
|
|
Face Detection (F32)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (F16)
|
97% |
5372
63.9 IPS |
|
|
Face Detection (I8)
|
96% |
5629
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4836
37.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8300
64.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10110
78.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17374
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
25421
33.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26628
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3733
133.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5057
180.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5207
186.0 IPS |
|
|
Text Classification (F32)
|
100% |
2148
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3536
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3431
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1317
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1599
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1276
23.5 IPS |
