MacBook Pro (13-inch, 2022)
Geekbench ML Score
5958
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 20 2025 05:51 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.10 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% |
3364
629.5 IPS |
|
|
Image Classification (F16)
|
100% |
3130
585.6 IPS |
|
|
Image Classification (I8)
|
99% |
3276
612.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1422
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1369
22.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1571
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23151
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
24867
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24732
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2809
209.7 IPS |
|
|
Object Detection (F16)
|
100% |
2908
217.1 IPS |
|
|
Object Detection (I8)
|
97% |
2846
212.5 IPS |
|
|
Face Detection (F32)
|
100% |
8710
103.6 IPS |
|
|
Face Detection (F16)
|
98% |
10024
119.2 IPS |
|
|
Face Detection (I8)
|
97% |
9832
116.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16197
125.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17523
135.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17437
135.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40947
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
46958
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
46844
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7296
260.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8854
316.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8654
309.1 IPS |
|
|
Text Classification (F32)
|
100% |
2036
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3424
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3361
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
960
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1007
18.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1061
19.5 IPS |
