Mac16,11
Geekbench ML Score
6176
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 02:44 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2069
387.2 IPS |
|
|
Image Classification (F16)
|
100% |
3031
567.2 IPS |
|
|
Image Classification (I8)
|
99% |
3020
565.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1605
26.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1985
33.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1979
33.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
18240
22.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
29472
35.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
30794
37.3 IPS |
|
|
Object Detection (F32)
|
100% |
2197
164.0 IPS |
|
|
Object Detection (F16)
|
100% |
3197
238.7 IPS |
|
|
Object Detection (I8)
|
97% |
2210
165.0 IPS |
|
|
Face Detection (F32)
|
100% |
4473
53.2 IPS |
|
|
Face Detection (F16)
|
97% |
7676
91.3 IPS |
|
|
Face Detection (I8)
|
97% |
7696
91.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8882
68.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
14746
114.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
14774
114.6 IPS |
|
|
Style Transfer (F32)
|
100% |
34875
45.9 IPS |
|
|
Style Transfer (F16)
|
100% |
50407
66.3 IPS |
|
|
Style Transfer (I8)
|
100% |
50141
66.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7210
257.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9934
354.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9927
354.5 IPS |
|
|
Text Classification (F32)
|
100% |
2753
3.96 KIPS |
|
|
Text Classification (F16)
|
100% |
4910
7.06 KIPS |
|
|
Text Classification (I8)
|
96% |
4906
7.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1887
34.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2279
41.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1884
34.7 IPS |
