Mac16,3
Geekbench ML Score
12211
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 01 2024 07:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,3 |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 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% |
4021
752.5 IPS |
|
|
Image Classification (F16)
|
100% |
15466
2.89 KIPS |
|
|
Image Classification (I8)
|
99% |
17484
3.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1951
32.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2976
49.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2971
49.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
26844
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
110424
133.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
112297
136.0 IPS |
|
|
Object Detection (F32)
|
100% |
3740
279.2 IPS |
|
|
Object Detection (F16)
|
100% |
7691
574.2 IPS |
|
|
Object Detection (I8)
|
97% |
2613
195.1 IPS |
|
|
Face Detection (F32)
|
100% |
11331
134.7 IPS |
|
|
Face Detection (F16)
|
97% |
24300
288.9 IPS |
|
|
Face Detection (I8)
|
96% |
24453
290.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
19467
151.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
66949
519.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
61122
474.0 IPS |
|
|
Style Transfer (F32)
|
100% |
55306
72.7 IPS |
|
|
Style Transfer (F16)
|
100% |
153890
202.4 IPS |
|
|
Style Transfer (I8)
|
100% |
158994
209.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6520
232.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
44066
1.57 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
44580
1.59 KIPS |
|
|
Text Classification (F32)
|
100% |
2687
3.86 KIPS |
|
|
Text Classification (F16)
|
100% |
4779
6.87 KIPS |
|
|
Text Classification (I8)
|
96% |
4780
6.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1125
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2260
41.6 IPS |
|
|
Machine Translation (I8)
|
99% |
589
10.8 IPS |
