Mac16,11
Geekbench ML Score
11124
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:02 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 | 4.50 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6499
1.22 KIPS |
|
|
Image Classification (F16)
|
100% |
6962
1.30 KIPS |
|
|
Image Classification (I8)
|
99% |
6911
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2850
47.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2927
48.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
3015
50.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
52541
63.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
54809
66.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
54689
66.2 IPS |
|
|
Object Detection (F32)
|
100% |
4562
340.6 IPS |
|
|
Object Detection (F16)
|
100% |
5038
376.1 IPS |
|
|
Object Detection (I8)
|
97% |
4770
356.1 IPS |
|
|
Face Detection (F32)
|
100% |
20638
245.4 IPS |
|
|
Face Detection (F16)
|
98% |
21666
257.6 IPS |
|
|
Face Detection (I8)
|
97% |
21053
250.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
31823
246.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
33002
255.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
32232
250.0 IPS |
|
|
Style Transfer (F32)
|
100% |
111134
146.2 IPS |
|
|
Style Transfer (F16)
|
100% |
120813
158.9 IPS |
|
|
Style Transfer (I8)
|
100% |
123839
162.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12455
444.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13363
477.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14608
521.7 IPS |
|
|
Text Classification (F32)
|
100% |
2697
3.88 KIPS |
|
|
Text Classification (F16)
|
100% |
4750
6.83 KIPS |
|
|
Text Classification (I8)
|
96% |
4728
6.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1338
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1268
23.3 IPS |
