Mac Studio
Geekbench ML Score
4233
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | richarddcrossley |
| Upload Date | September 25 2024 10:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.21 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1256
235.0 IPS |
|
|
Image Classification (F16)
|
100% |
1884
352.5 IPS |
|
|
Image Classification (I8)
|
99% |
1881
351.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1083
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1076
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
15756
19.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
28472
34.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
26955
32.6 IPS |
|
|
Object Detection (F32)
|
100% |
1449
108.2 IPS |
|
|
Object Detection (F16)
|
100% |
1972
147.2 IPS |
|
|
Object Detection (I8)
|
97% |
1446
107.9 IPS |
|
|
Face Detection (F32)
|
100% |
3319
39.5 IPS |
|
|
Face Detection (F16)
|
97% |
5143
61.2 IPS |
|
|
Face Detection (I8)
|
97% |
5060
60.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6125
47.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11070
85.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10974
85.1 IPS |
|
|
Style Transfer (F32)
|
100% |
23851
31.4 IPS |
|
|
Style Transfer (F16)
|
100% |
38762
51.0 IPS |
|
|
Style Transfer (I8)
|
100% |
38736
51.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4522
161.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6891
246.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6874
245.5 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3519
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3534
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1222
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1243
22.9 IPS |
