MacBook Pro (13-inch, 2022)
Geekbench ML Score
6207
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 19 2025 06:47 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.30 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% |
3434
642.7 IPS |
|
|
Image Classification (F16)
|
100% |
3510
656.8 IPS |
|
|
Image Classification (I8)
|
99% |
3515
657.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1405
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1561
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1583
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23176
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25438
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25542
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2844
212.3 IPS |
|
|
Object Detection (F16)
|
100% |
2918
217.8 IPS |
|
|
Object Detection (I8)
|
97% |
2826
211.0 IPS |
|
|
Face Detection (F32)
|
100% |
8853
105.3 IPS |
|
|
Face Detection (F16)
|
98% |
10191
121.2 IPS |
|
|
Face Detection (I8)
|
97% |
10151
120.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16216
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
18078
140.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17355
134.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40533
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47400
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
44300
58.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9536
340.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9182
327.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9656
344.8 IPS |
|
|
Text Classification (F32)
|
100% |
2124
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3562
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3474
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1112
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1078
19.8 IPS |
