Mac Studio
Geekbench ML Score
5619
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | trode |
| Upload Date | August 15 2024 05:13 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 16 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
752
140.8 IPS |
|
|
Image Classification (F16)
|
100% |
770
144.1 IPS |
|
|
Image Classification (I8)
|
99% |
749
140.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1408
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1392
23.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1484
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
58045
70.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
59641
72.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
56404
68.3 IPS |
|
|
Object Detection (F32)
|
100% |
3344
249.7 IPS |
|
|
Object Detection (F16)
|
100% |
3353
250.3 IPS |
|
|
Object Detection (I8)
|
97% |
3023
225.7 IPS |
|
|
Face Detection (F32)
|
100% |
15216
180.9 IPS |
|
|
Face Detection (F16)
|
98% |
17017
202.3 IPS |
|
|
Face Detection (I8)
|
97% |
15218
180.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
25768
199.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
25976
201.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
22768
176.6 IPS |
|
|
Style Transfer (F32)
|
100% |
111807
147.1 IPS |
|
|
Style Transfer (F16)
|
100% |
101977
134.1 IPS |
|
|
Style Transfer (I8)
|
100% |
101464
133.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12655
451.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9543
340.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9845
351.6 IPS |
|
|
Text Classification (F32)
|
100% |
447
642.4 IPS |
|
|
Text Classification (F16)
|
100% |
537
771.3 IPS |
|
|
Text Classification (I8)
|
96% |
364
523.3 IPS |
|
|
Machine Translation (F32)
|
100% |
854
15.7 IPS |
|
|
Machine Translation (F16)
|
99% |
910
16.7 IPS |
|
|
Machine Translation (I8)
|
99% |
663
12.2 IPS |
