Mac16,11
Geekbench ML Score
11026
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 02:41 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6808
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
7277
1.36 KIPS |
|
|
Image Classification (I8)
|
99% |
6992
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2683
44.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2745
45.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2731
45.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
40851
49.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
42495
51.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
54346
65.8 IPS |
|
|
Object Detection (F32)
|
100% |
4964
370.6 IPS |
|
|
Object Detection (F16)
|
100% |
5274
393.7 IPS |
|
|
Object Detection (I8)
|
97% |
4700
350.9 IPS |
|
|
Face Detection (F32)
|
100% |
20815
247.5 IPS |
|
|
Face Detection (F16)
|
98% |
21184
251.9 IPS |
|
|
Face Detection (I8)
|
97% |
20971
249.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
31909
247.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
34248
265.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
31613
245.2 IPS |
|
|
Style Transfer (F32)
|
100% |
115019
151.3 IPS |
|
|
Style Transfer (F16)
|
100% |
121613
160.0 IPS |
|
|
Style Transfer (I8)
|
100% |
125662
165.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14505
518.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13645
487.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15714
561.2 IPS |
|
|
Text Classification (F32)
|
100% |
2731
3.92 KIPS |
|
|
Text Classification (F16)
|
100% |
4862
6.99 KIPS |
|
|
Text Classification (I8)
|
96% |
4682
6.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
1307
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1217
22.4 IPS |
