MacBook Pro (13-inch, 2022)
Geekbench ML Score
5343
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 17 2025 07:17 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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% |
3301
617.7 IPS |
|
|
Image Classification (F16)
|
100% |
3403
636.8 IPS |
|
|
Image Classification (I8)
|
99% |
3323
621.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1262
21.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1182
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23219
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24804
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24442
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
1765
131.8 IPS |
|
|
Object Detection (F16)
|
100% |
2872
214.4 IPS |
|
|
Object Detection (I8)
|
97% |
2705
201.9 IPS |
|
|
Face Detection (F32)
|
100% |
8991
106.9 IPS |
|
|
Face Detection (F16)
|
98% |
7105
84.5 IPS |
|
|
Face Detection (I8)
|
97% |
5276
62.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16227
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17188
133.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
13982
108.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40617
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
46774
61.5 IPS |
|
|
Style Transfer (I8)
|
100% |
46930
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10233
365.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7706
275.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7289
260.3 IPS |
|
|
Text Classification (F32)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3403
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3322
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
656
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
652
12.0 IPS |
|
|
Machine Translation (I8)
|
99% |
675
12.4 IPS |
