Mac16,11
Geekbench ML Score
14605
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 10:14 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6511
1.22 KIPS |
|
|
Image Classification (F16)
|
100% |
15959
2.99 KIPS |
|
|
Image Classification (I8)
|
99% |
16697
3.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2863
47.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3701
61.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
3698
61.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
52692
63.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
111237
134.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
112443
136.2 IPS |
|
|
Object Detection (F32)
|
100% |
4528
338.0 IPS |
|
|
Object Detection (F16)
|
100% |
7864
587.1 IPS |
|
|
Object Detection (I8)
|
97% |
3605
269.2 IPS |
|
|
Face Detection (F32)
|
100% |
19674
233.9 IPS |
|
|
Face Detection (F16)
|
97% |
25129
298.8 IPS |
|
|
Face Detection (I8)
|
96% |
24851
295.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
22311
173.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
56031
434.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
62372
483.7 IPS |
|
|
Style Transfer (F32)
|
100% |
114500
150.6 IPS |
|
|
Style Transfer (F16)
|
100% |
160952
211.7 IPS |
|
|
Style Transfer (I8)
|
100% |
163535
215.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14606
521.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
40098
1.43 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
38955
1.39 KIPS |
|
|
Text Classification (F32)
|
100% |
2677
3.85 KIPS |
|
|
Text Classification (F16)
|
100% |
4732
6.80 KIPS |
|
|
Text Classification (I8)
|
96% |
4730
6.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2368
43.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1179
21.7 IPS |
