Mac Studio
Geekbench ML Score
5882
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 13 2023 06:51 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4199
785.7 IPS |
|
|
Image Classification (F16)
|
100% |
4164
779.3 IPS |
|
|
Image Classification (I8)
|
99% |
3633
679.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1543
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1514
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1528
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
43440
52.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
42626
51.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
39154
47.4 IPS |
|
|
Object Detection (F32)
|
100% |
2092
156.2 IPS |
|
|
Object Detection (F16)
|
100% |
3379
252.3 IPS |
|
|
Object Detection (I8)
|
97% |
1989
148.5 IPS |
|
|
Face Detection (F32)
|
100% |
13901
165.3 IPS |
|
|
Face Detection (F16)
|
97% |
14561
173.1 IPS |
|
|
Face Detection (I8)
|
96% |
13411
159.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
22601
175.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
23489
182.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
21072
163.4 IPS |
|
|
Style Transfer (F32)
|
100% |
64307
84.6 IPS |
|
|
Style Transfer (F16)
|
100% |
75629
99.5 IPS |
|
|
Style Transfer (I8)
|
100% |
83064
109.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9191
328.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9616
343.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11362
405.8 IPS |
|
|
Text Classification (F32)
|
100% |
472
677.8 IPS |
|
|
Text Classification (F16)
|
100% |
496
712.4 IPS |
|
|
Text Classification (I8)
|
96% |
515
740.3 IPS |
|
|
Machine Translation (F32)
|
100% |
725
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
727
13.4 IPS |
|
|
Machine Translation (I8)
|
99% |
676
12.4 IPS |
