Mac Studio
Geekbench ML Score
8202
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Auhim |
| Upload Date | May 21 2024 06:34 AM |
| 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 | 3.22 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4502
842.5 IPS |
|
|
Image Classification (F16)
|
100% |
6957
1.30 KIPS |
|
|
Image Classification (I8)
|
99% |
7307
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1577
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1414
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1427
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
52829
64.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
63503
76.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
63935
77.4 IPS |
|
|
Object Detection (F32)
|
100% |
2827
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
3932
293.5 IPS |
|
|
Object Detection (I8)
|
97% |
2963
221.2 IPS |
|
|
Face Detection (F32)
|
100% |
17016
202.3 IPS |
|
|
Face Detection (F16)
|
97% |
10870
129.2 IPS |
|
|
Face Detection (I8)
|
96% |
10740
127.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
20647
160.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
35276
273.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
29305
227.3 IPS |
|
|
Style Transfer (F32)
|
100% |
87138
114.6 IPS |
|
|
Style Transfer (F16)
|
100% |
111440
146.6 IPS |
|
|
Style Transfer (I8)
|
100% |
114183
150.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13429
479.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15273
545.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15744
562.3 IPS |
|
|
Text Classification (F32)
|
100% |
858
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (I8)
|
96% |
2061
2.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1699
31.3 IPS |
|
|
Machine Translation (I8)
|
99% |
726
13.4 IPS |
