Mac15,12
Geekbench ML Score
5271
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 22 2024 08:18 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D2057) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4198
785.6 IPS |
|
|
Image Classification (F16)
|
100% |
4220
789.7 IPS |
|
|
Image Classification (I8)
|
99% |
3783
707.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1769
29.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1867
31.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1814
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23710
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25285
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24760
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2428
181.3 IPS |
|
|
Object Detection (F16)
|
100% |
2924
218.3 IPS |
|
|
Object Detection (I8)
|
97% |
2563
191.3 IPS |
|
|
Face Detection (F32)
|
100% |
10753
127.9 IPS |
|
|
Face Detection (F16)
|
97% |
12659
150.5 IPS |
|
|
Face Detection (I8)
|
96% |
12486
148.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16106
124.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
16034
124.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
14101
109.4 IPS |
|
|
Style Transfer (F32)
|
100% |
50076
65.9 IPS |
|
|
Style Transfer (F16)
|
100% |
58378
76.8 IPS |
|
|
Style Transfer (I8)
|
100% |
57903
76.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6670
238.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7566
270.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7163
255.8 IPS |
|
|
Text Classification (F32)
|
100% |
629
904.1 IPS |
|
|
Text Classification (F16)
|
100% |
680
977.4 IPS |
|
|
Text Classification (I8)
|
96% |
695
999.0 IPS |
|
|
Machine Translation (F32)
|
100% |
722
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
771
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
668
12.3 IPS |
