MacBook Pro (13-inch, 2022)
Geekbench ML Score
5955
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 06 2024 06:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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% |
3444
644.4 IPS |
|
|
Image Classification (F16)
|
100% |
3502
655.2 IPS |
|
|
Image Classification (I8)
|
99% |
3352
627.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1425
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1378
23.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1433
23.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23472
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25250
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24644
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2897
216.3 IPS |
|
|
Object Detection (F16)
|
100% |
2901
216.6 IPS |
|
|
Object Detection (I8)
|
97% |
2853
213.0 IPS |
|
|
Face Detection (F32)
|
100% |
9103
108.2 IPS |
|
|
Face Detection (F16)
|
98% |
10147
120.6 IPS |
|
|
Face Detection (I8)
|
97% |
10161
120.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16565
128.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17772
137.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17119
132.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40161
52.8 IPS |
|
|
Style Transfer (F16)
|
100% |
43471
57.2 IPS |
|
|
Style Transfer (I8)
|
100% |
46414
61.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8118
289.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8626
308.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10878
388.5 IPS |
|
|
Text Classification (F32)
|
100% |
1970
2.83 KIPS |
|
|
Text Classification (F16)
|
100% |
3333
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3432
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
885
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
874
16.1 IPS |
