Mac15,12
Geekbench ML Score
4572
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Jasonious |
| Upload Date | October 08 2024 07:43 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 4.04 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1526
285.5 IPS |
|
|
Image Classification (F16)
|
100% |
2869
536.9 IPS |
|
|
Image Classification (I8)
|
99% |
2871
537.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1038
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1324
22.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1320
22.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8477
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
16472
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16444
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1690
126.2 IPS |
|
|
Object Detection (F16)
|
100% |
2753
205.6 IPS |
|
|
Object Detection (I8)
|
97% |
1694
126.5 IPS |
|
|
Face Detection (F32)
|
100% |
3385
40.3 IPS |
|
|
Face Detection (F16)
|
97% |
6306
75.0 IPS |
|
|
Face Detection (I8)
|
97% |
6354
75.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6997
54.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13352
103.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
13349
103.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21507
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
33063
43.5 IPS |
|
|
Style Transfer (I8)
|
100% |
33077
43.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5218
186.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6016
214.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6007
214.5 IPS |
|
|
Text Classification (F32)
|
100% |
2582
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
4740
6.81 KIPS |
|
|
Text Classification (I8)
|
96% |
4652
6.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1448
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1730
31.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1443
26.6 IPS |
