MacBook Pro (13-inch, 2022)
Geekbench ML Score
5882
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 16 2025 06:28 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
3371
630.8 IPS |
|
|
Image Classification (F16)
|
100% |
3495
654.0 IPS |
|
|
Image Classification (I8)
|
99% |
3348
626.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1313
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1437
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1414
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22889
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24787
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24479
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
2496
186.3 IPS |
|
|
Object Detection (F16)
|
100% |
2911
217.3 IPS |
|
|
Object Detection (I8)
|
97% |
2835
211.7 IPS |
|
|
Face Detection (F32)
|
100% |
8944
106.3 IPS |
|
|
Face Detection (F16)
|
98% |
10158
120.8 IPS |
|
|
Face Detection (I8)
|
97% |
10179
121.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16116
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17114
132.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17014
131.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40420
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
46882
61.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46939
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8759
312.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10202
364.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8098
289.2 IPS |
|
|
Text Classification (F32)
|
100% |
2058
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3462
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3469
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
856
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
863
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
797
14.7 IPS |
