MacBook Pro (13-inch, 2022)
Geekbench ML Score
6029
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 27 2025 08:23 PM |
| Views | 2 |
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 | 3.47 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3261
610.2 IPS |
|
|
Image Classification (F16)
|
100% |
3335
624.1 IPS |
|
|
Image Classification (I8)
|
99% |
3215
601.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1539
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1370
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22949
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25132
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25460
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2843
212.2 IPS |
|
|
Object Detection (F16)
|
100% |
2882
215.1 IPS |
|
|
Object Detection (I8)
|
97% |
2757
205.8 IPS |
|
|
Face Detection (F32)
|
100% |
8496
101.0 IPS |
|
|
Face Detection (F16)
|
98% |
9811
116.7 IPS |
|
|
Face Detection (I8)
|
97% |
10010
119.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16194
125.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17747
137.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17378
134.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40091
52.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47209
62.1 IPS |
|
|
Style Transfer (I8)
|
100% |
46591
61.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9292
331.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9687
346.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10122
361.5 IPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3091
4.44 KIPS |
|
|
Text Classification (I8)
|
96% |
3279
4.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
1034
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1089
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1088
20.0 IPS |
