Mac16,11
Geekbench ML Score
6178
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 10:19 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 | 4.50 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% |
2064
386.2 IPS |
|
|
Image Classification (F16)
|
100% |
3016
564.4 IPS |
|
|
Image Classification (I8)
|
99% |
3012
563.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1667
27.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2044
34.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2056
34.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
18220
22.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
30437
36.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
30210
36.6 IPS |
|
|
Object Detection (F32)
|
100% |
2181
162.8 IPS |
|
|
Object Detection (F16)
|
100% |
3196
238.6 IPS |
|
|
Object Detection (I8)
|
97% |
2235
166.9 IPS |
|
|
Face Detection (F32)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (F16)
|
97% |
7824
93.0 IPS |
|
|
Face Detection (I8)
|
97% |
7719
91.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8677
67.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14952
116.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
14908
115.6 IPS |
|
|
Style Transfer (F32)
|
100% |
35195
46.3 IPS |
|
|
Style Transfer (F16)
|
100% |
49407
65.0 IPS |
|
|
Style Transfer (I8)
|
100% |
50485
66.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7235
258.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9720
347.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9745
348.0 IPS |
|
|
Text Classification (F32)
|
100% |
2699
3.88 KIPS |
|
|
Text Classification (F16)
|
100% |
4718
6.78 KIPS |
|
|
Text Classification (I8)
|
96% |
4699
6.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1892
34.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2277
41.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1885
34.7 IPS |
