MacBook Pro (13-inch, 2022)
Geekbench ML Score
3815
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 11 2025 10:15 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.44 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% |
1322
247.3 IPS |
|
|
Image Classification (F16)
|
100% |
2408
450.6 IPS |
|
|
Image Classification (I8)
|
99% |
2303
431.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
707
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
964
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1066
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6481
7.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
14202
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14194
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1386
103.5 IPS |
|
|
Object Detection (F16)
|
100% |
2300
171.7 IPS |
|
|
Object Detection (I8)
|
97% |
1392
103.9 IPS |
|
|
Face Detection (F32)
|
100% |
3032
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5768
68.6 IPS |
|
|
Face Detection (I8)
|
96% |
5864
69.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5538
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11120
86.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10728
83.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17789
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28628
37.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28696
37.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4222
150.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5134
183.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5112
182.6 IPS |
|
|
Text Classification (F32)
|
100% |
2129
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3475
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3473
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1379
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1656
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1405
25.9 IPS |
