Mac16,11
Geekbench ML Score
14734
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 10:21 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6530
1.22 KIPS |
|
|
Image Classification (F16)
|
100% |
15431
2.89 KIPS |
|
|
Image Classification (I8)
|
99% |
16688
3.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3008
50.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3698
61.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
3686
61.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
52645
63.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
111342
134.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
112605
136.4 IPS |
|
|
Object Detection (F32)
|
100% |
4428
330.6 IPS |
|
|
Object Detection (F16)
|
100% |
7949
593.4 IPS |
|
|
Object Detection (I8)
|
97% |
4599
343.3 IPS |
|
|
Face Detection (F32)
|
100% |
19390
230.6 IPS |
|
|
Face Detection (F16)
|
97% |
23262
276.6 IPS |
|
|
Face Detection (I8)
|
96% |
24862
295.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
21966
170.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
62402
483.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
59918
464.7 IPS |
|
|
Style Transfer (F32)
|
100% |
112257
147.7 IPS |
|
|
Style Transfer (F16)
|
100% |
163366
214.9 IPS |
|
|
Style Transfer (I8)
|
100% |
160814
211.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14344
512.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
39483
1.41 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
40418
1.44 KIPS |
|
|
Text Classification (F32)
|
100% |
2675
3.85 KIPS |
|
|
Text Classification (F16)
|
100% |
4726
6.79 KIPS |
|
|
Text Classification (I8)
|
96% |
4718
6.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2370
43.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1271
23.4 IPS |
