Mac Studio
Geekbench ML Score
6606
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Auhim |
| Upload Date | May 21 2024 06:32 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 | 3.20 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4742
887.3 IPS |
|
|
Image Classification (F16)
|
100% |
4719
883.0 IPS |
|
|
Image Classification (I8)
|
99% |
4132
773.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1546
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1606
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1593
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
41639
50.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
46269
56.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
42596
51.6 IPS |
|
|
Object Detection (F32)
|
100% |
3555
265.4 IPS |
|
|
Object Detection (F16)
|
100% |
3544
264.6 IPS |
|
|
Object Detection (I8)
|
97% |
3364
251.1 IPS |
|
|
Face Detection (F32)
|
100% |
16916
201.1 IPS |
|
|
Face Detection (F16)
|
98% |
17531
208.4 IPS |
|
|
Face Detection (I8)
|
97% |
16175
192.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
26257
203.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
27496
213.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
24538
190.3 IPS |
|
|
Style Transfer (F32)
|
100% |
83897
110.4 IPS |
|
|
Style Transfer (F16)
|
100% |
92020
121.0 IPS |
|
|
Style Transfer (I8)
|
100% |
87853
115.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10264
366.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10680
381.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9282
331.5 IPS |
|
|
Text Classification (F32)
|
100% |
471
676.9 IPS |
|
|
Text Classification (F16)
|
100% |
519
746.4 IPS |
|
|
Text Classification (I8)
|
96% |
513
737.3 IPS |
|
|
Machine Translation (F32)
|
100% |
763
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
758
13.9 IPS |
|
|
Machine Translation (I8)
|
99% |
733
13.5 IPS |
