MacBook Pro (13-inch, 2022)
Geekbench ML Score
3689
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 24 2025 06:43 PM |
| Views | 15 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.46 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% |
1333
249.5 IPS |
|
|
Image Classification (F16)
|
100% |
2348
439.4 IPS |
|
|
Image Classification (I8)
|
99% |
2394
447.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
788
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1027
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1062
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6536
7.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
14387
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14236
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1357
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
2291
171.0 IPS |
|
|
Object Detection (I8)
|
97% |
1340
100.0 IPS |
|
|
Face Detection (F32)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (F16)
|
97% |
4480
53.3 IPS |
|
|
Face Detection (I8)
|
97% |
5447
64.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5344
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10318
80.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10149
78.7 IPS |
|
|
Style Transfer (F32)
|
100% |
14424
19.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27678
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28334
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4135
147.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5015
179.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5026
179.5 IPS |
|
|
Text Classification (F32)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3441
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3448
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1261
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1543
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1324
24.4 IPS |
