MacBook Pro (13-inch, 2022)
Geekbench ML Score
5950
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 09:12 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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 | 3.48 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% |
3302
617.8 IPS |
|
|
Image Classification (F16)
|
100% |
3361
629.0 IPS |
|
|
Image Classification (I8)
|
99% |
3430
641.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1333
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1529
25.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1482
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23027
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24806
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24589
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2904
216.8 IPS |
|
|
Object Detection (F16)
|
100% |
2874
214.5 IPS |
|
|
Object Detection (I8)
|
97% |
2859
213.4 IPS |
|
|
Face Detection (F32)
|
100% |
8762
104.2 IPS |
|
|
Face Detection (F16)
|
98% |
10053
119.5 IPS |
|
|
Face Detection (I8)
|
97% |
10101
120.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16018
124.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17076
132.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
16999
131.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40060
52.7 IPS |
|
|
Style Transfer (F16)
|
100% |
46804
61.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46831
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9853
351.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8376
299.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10003
357.3 IPS |
|
|
Text Classification (F32)
|
100% |
1923
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
3421
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3450
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
867
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
870
16.0 IPS |
