Mac Studio
Geekbench ML Score
2996
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | srkses |
| Upload Date | August 16 2024 05:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.22 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1258
235.3 IPS |
|
|
Image Classification (F16)
|
100% |
1582
296.0 IPS |
|
|
Image Classification (I8)
|
99% |
1586
296.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
776
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
773
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
768
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5416
6.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
12519
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
12431
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1277
95.3 IPS |
|
|
Object Detection (F16)
|
100% |
1709
127.6 IPS |
|
|
Object Detection (I8)
|
97% |
1252
93.5 IPS |
|
|
Face Detection (F32)
|
100% |
2596
30.9 IPS |
|
|
Face Detection (F16)
|
97% |
3985
47.4 IPS |
|
|
Face Detection (I8)
|
97% |
3899
46.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5033
39.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7899
61.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
7892
61.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14483
19.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23190
30.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23135
30.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3432
122.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4333
154.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4350
155.4 IPS |
|
|
Text Classification (F32)
|
100% |
2061
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3371
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3343
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
674
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
883
16.2 IPS |
|
|
Machine Translation (I8)
|
99% |
674
12.4 IPS |
