MacBook Pro (13-inch, 2022)
Geekbench ML Score
5419
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 13 2025 06:21 PM |
| Views | 9 |
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 | 3.46 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% |
3387
633.8 IPS |
|
|
Image Classification (F16)
|
100% |
3519
658.5 IPS |
|
|
Image Classification (I8)
|
99% |
3553
664.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1192
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1514
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1455
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23142
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25349
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25117
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
1773
132.3 IPS |
|
|
Object Detection (F16)
|
100% |
1166
87.0 IPS |
|
|
Object Detection (I8)
|
97% |
2829
211.2 IPS |
|
|
Face Detection (F32)
|
100% |
8924
106.1 IPS |
|
|
Face Detection (F16)
|
98% |
10245
121.8 IPS |
|
|
Face Detection (I8)
|
97% |
8931
106.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12958
100.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17342
134.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17595
136.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40856
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
31458
41.4 IPS |
|
|
Style Transfer (I8)
|
100% |
24378
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10155
362.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6306
225.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7635
272.7 IPS |
|
|
Text Classification (F32)
|
100% |
2126
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3372
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3561
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
901
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1085
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
884
16.3 IPS |
