Mac Studio
Geekbench ML Score
7718
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 05:28 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3981
744.9 IPS |
|
|
Image Classification (F16)
|
100% |
6927
1.30 KIPS |
|
|
Image Classification (I8)
|
99% |
7298
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1485
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1409
23.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1395
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
38989
47.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
62586
75.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
65092
78.8 IPS |
|
|
Object Detection (F32)
|
100% |
3123
233.1 IPS |
|
|
Object Detection (F16)
|
100% |
3985
297.5 IPS |
|
|
Object Detection (I8)
|
97% |
2871
214.3 IPS |
|
|
Face Detection (F32)
|
100% |
13678
162.6 IPS |
|
|
Face Detection (F16)
|
97% |
10919
129.8 IPS |
|
|
Face Detection (I8)
|
96% |
9839
117.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
22841
177.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
25799
200.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
29082
225.5 IPS |
|
|
Style Transfer (F32)
|
100% |
71566
94.1 IPS |
|
|
Style Transfer (F16)
|
100% |
112702
148.2 IPS |
|
|
Style Transfer (I8)
|
100% |
113876
149.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10551
376.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15725
561.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15670
559.6 IPS |
|
|
Text Classification (F32)
|
100% |
632
908.6 IPS |
|
|
Text Classification (F16)
|
100% |
2078
2.99 KIPS |
|
|
Text Classification (I8)
|
96% |
2061
2.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
722
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1540
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
700
12.9 IPS |
