Mac15,12
Geekbench ML Score
5438
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 06:03 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4079
763.2 IPS |
|
|
Image Classification (F16)
|
100% |
4378
819.2 IPS |
|
|
Image Classification (I8)
|
99% |
3887
727.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1761
29.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1766
29.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1808
30.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23645
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25630
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25067
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2532
189.0 IPS |
|
|
Object Detection (F16)
|
100% |
3603
269.0 IPS |
|
|
Object Detection (I8)
|
97% |
2975
222.1 IPS |
|
|
Face Detection (F32)
|
100% |
10210
121.4 IPS |
|
|
Face Detection (F16)
|
98% |
13535
160.9 IPS |
|
|
Face Detection (I8)
|
97% |
13072
155.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15412
119.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
20114
156.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
18621
144.4 IPS |
|
|
Style Transfer (F32)
|
100% |
50240
66.1 IPS |
|
|
Style Transfer (F16)
|
100% |
58584
77.1 IPS |
|
|
Style Transfer (I8)
|
100% |
56027
73.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7016
250.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8103
289.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8384
299.4 IPS |
|
|
Text Classification (F32)
|
100% |
551
791.9 IPS |
|
|
Text Classification (F16)
|
100% |
663
952.5 IPS |
|
|
Text Classification (I8)
|
96% |
638
917.4 IPS |
|
|
Machine Translation (F32)
|
100% |
701
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
807
14.9 IPS |
|
|
Machine Translation (I8)
|
99% |
668
12.3 IPS |
