Mac15,12
Geekbench ML Score
4707
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 01:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1581
295.8 IPS |
|
|
Image Classification (F16)
|
100% |
2915
545.5 IPS |
|
|
Image Classification (I8)
|
99% |
2923
547.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1125
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1461
24.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1466
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8559
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
16655
20.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
16610
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1746
130.4 IPS |
|
|
Object Detection (F16)
|
100% |
2880
215.0 IPS |
|
|
Object Detection (I8)
|
97% |
1750
130.6 IPS |
|
|
Face Detection (F32)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (F16)
|
97% |
6698
79.6 IPS |
|
|
Face Detection (I8)
|
97% |
6722
79.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7193
55.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13581
105.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
13551
105.1 IPS |
|
|
Style Transfer (F32)
|
100% |
22054
29.0 IPS |
|
|
Style Transfer (F16)
|
100% |
33436
44.0 IPS |
|
|
Style Transfer (I8)
|
100% |
33375
43.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5329
190.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6064
216.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6073
216.9 IPS |
|
|
Text Classification (F32)
|
100% |
2559
3.68 KIPS |
|
|
Text Classification (F16)
|
100% |
4608
6.62 KIPS |
|
|
Text Classification (I8)
|
96% |
4582
6.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
1520
28.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1795
33.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1501
27.6 IPS |
