MacBook Pro (13-inch, 2022)
Geekbench ML Score
3668
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 13 2025 07:18 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.42 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% |
1317
246.5 IPS |
|
|
Image Classification (F16)
|
100% |
2343
438.5 IPS |
|
|
Image Classification (I8)
|
99% |
2289
428.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
989
16.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1109
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6491
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
14423
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14146
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1160
86.6 IPS |
|
|
Object Detection (F16)
|
100% |
2020
150.8 IPS |
|
|
Object Detection (I8)
|
97% |
1165
87.0 IPS |
|
|
Face Detection (F32)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4834
57.5 IPS |
|
|
Face Detection (I8)
|
97% |
5156
61.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5379
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10822
83.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10233
79.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17287
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28302
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28346
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4046
144.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4983
178.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4996
178.4 IPS |
|
|
Text Classification (F32)
|
100% |
2045
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3379
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3459
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1321
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1591
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1355
24.9 IPS |
