Mac15,12
Geekbench ML Score
4689
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 11:13 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
1572
294.2 IPS |
|
|
Image Classification (F16)
|
100% |
2883
539.5 IPS |
|
|
Image Classification (I8)
|
99% |
2906
543.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1099
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1400
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8625
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
16653
20.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
16650
20.2 IPS |
|
|
Object Detection (F32)
|
100% |
1743
130.1 IPS |
|
|
Object Detection (F16)
|
100% |
2867
214.0 IPS |
|
|
Object Detection (I8)
|
97% |
1744
130.2 IPS |
|
|
Face Detection (F32)
|
100% |
3529
42.0 IPS |
|
|
Face Detection (F16)
|
97% |
6748
80.2 IPS |
|
|
Face Detection (I8)
|
97% |
6731
80.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7207
55.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13638
105.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
13689
106.2 IPS |
|
|
Style Transfer (F32)
|
100% |
22057
29.0 IPS |
|
|
Style Transfer (F16)
|
100% |
33403
43.9 IPS |
|
|
Style Transfer (I8)
|
100% |
33530
44.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5340
190.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6094
217.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6095
217.7 IPS |
|
|
Text Classification (F32)
|
100% |
2571
3.69 KIPS |
|
|
Text Classification (F16)
|
100% |
4582
6.58 KIPS |
|
|
Text Classification (I8)
|
96% |
4613
6.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1509
27.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1783
32.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1494
27.5 IPS |
