Mac16,11
Geekbench ML Score
6178
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:21 AM |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2059
385.4 IPS |
|
|
Image Classification (F16)
|
100% |
3018
564.8 IPS |
|
|
Image Classification (I8)
|
99% |
3012
563.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1660
27.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2029
33.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2017
33.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
18185
22.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
30374
36.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
30179
36.5 IPS |
|
|
Object Detection (F32)
|
100% |
2233
166.7 IPS |
|
|
Object Detection (F16)
|
100% |
3186
237.8 IPS |
|
|
Object Detection (I8)
|
97% |
2210
165.0 IPS |
|
|
Face Detection (F32)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (F16)
|
97% |
7764
92.3 IPS |
|
|
Face Detection (I8)
|
97% |
7665
91.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8586
66.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
14801
114.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
15178
117.7 IPS |
|
|
Style Transfer (F32)
|
100% |
35215
46.3 IPS |
|
|
Style Transfer (F16)
|
100% |
50199
66.0 IPS |
|
|
Style Transfer (I8)
|
100% |
51297
67.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7251
258.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9713
346.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9749
348.2 IPS |
|
|
Text Classification (F32)
|
100% |
2693
3.87 KIPS |
|
|
Text Classification (F16)
|
100% |
4761
6.84 KIPS |
|
|
Text Classification (I8)
|
96% |
4741
6.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1884
34.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2282
42.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1883
34.7 IPS |
