Mac15,12
Geekbench ML Score
4856
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:32 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.44 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3745
700.8 IPS |
|
|
Image Classification (F16)
|
100% |
3993
747.2 IPS |
|
|
Image Classification (I8)
|
99% |
3564
666.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
967
16.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1027
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1036
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22088
26.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
23070
27.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
23200
28.1 IPS |
|
|
Object Detection (F32)
|
100% |
3026
225.9 IPS |
|
|
Object Detection (F16)
|
100% |
3238
241.8 IPS |
|
|
Object Detection (I8)
|
97% |
2585
193.0 IPS |
|
|
Face Detection (F32)
|
100% |
8957
106.5 IPS |
|
|
Face Detection (F16)
|
98% |
11367
135.2 IPS |
|
|
Face Detection (I8)
|
97% |
10072
119.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15737
122.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17799
138.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
16391
127.1 IPS |
|
|
Style Transfer (F32)
|
100% |
44317
58.3 IPS |
|
|
Style Transfer (F16)
|
100% |
50536
66.5 IPS |
|
|
Style Transfer (I8)
|
100% |
48482
63.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6032
215.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6868
245.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8725
311.6 IPS |
|
|
Text Classification (F32)
|
100% |
658
945.0 IPS |
|
|
Text Classification (F16)
|
100% |
775
1.11 KIPS |
|
|
Text Classification (I8)
|
96% |
684
982.8 IPS |
|
|
Machine Translation (F32)
|
100% |
732
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
762
14.0 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
