Mac Studio
Geekbench ML Score
8178
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 10:38 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 3.20 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% |
4665
872.9 IPS |
|
|
Image Classification (F16)
|
100% |
6885
1.29 KIPS |
|
|
Image Classification (I8)
|
99% |
7298
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1636
27.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1418
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1436
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
50375
61.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
62715
75.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
63973
77.5 IPS |
|
|
Object Detection (F32)
|
100% |
3462
258.5 IPS |
|
|
Object Detection (F16)
|
100% |
4279
319.4 IPS |
|
|
Object Detection (I8)
|
97% |
3291
245.7 IPS |
|
|
Face Detection (F32)
|
100% |
16856
200.4 IPS |
|
|
Face Detection (F16)
|
97% |
10877
129.3 IPS |
|
|
Face Detection (I8)
|
96% |
10467
124.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
25884
200.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
35140
272.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
32067
248.7 IPS |
|
|
Style Transfer (F32)
|
100% |
88160
116.0 IPS |
|
|
Style Transfer (F16)
|
100% |
111407
146.5 IPS |
|
|
Style Transfer (I8)
|
100% |
104151
137.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10929
390.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14186
506.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16174
577.6 IPS |
|
|
Text Classification (F32)
|
100% |
540
776.8 IPS |
|
|
Text Classification (F16)
|
100% |
2035
2.92 KIPS |
|
|
Text Classification (I8)
|
96% |
2077
2.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
755
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1723
31.7 IPS |
|
|
Machine Translation (I8)
|
99% |
733
13.5 IPS |
