MacBook Pro (13-inch, 2022)
Geekbench ML Score
5691
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 19 2025 05:05 PM |
| Views | 5 |
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 | 3.30 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% |
3361
629.0 IPS |
|
|
Image Classification (F16)
|
100% |
3302
617.9 IPS |
|
|
Image Classification (I8)
|
99% |
3323
621.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1328
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1442
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22815
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25036
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24598
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2644
197.4 IPS |
|
|
Object Detection (F16)
|
100% |
2240
167.3 IPS |
|
|
Object Detection (I8)
|
97% |
2771
206.8 IPS |
|
|
Face Detection (F32)
|
100% |
8905
105.9 IPS |
|
|
Face Detection (F16)
|
98% |
10043
119.4 IPS |
|
|
Face Detection (I8)
|
97% |
9916
117.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16354
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17630
136.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
16768
130.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41400
54.5 IPS |
|
|
Style Transfer (F16)
|
100% |
42315
55.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46034
60.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6880
245.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7527
268.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7385
263.7 IPS |
|
|
Text Classification (F32)
|
100% |
1841
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
3549
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3425
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
910
16.7 IPS |
|
|
Machine Translation (I8)
|
99% |
863
15.9 IPS |
