Mac Studio
Geekbench ML Score
7487
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 30 2024 08:54 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4174
781.0 IPS |
|
|
Image Classification (F16)
|
100% |
4217
789.0 IPS |
|
|
Image Classification (I8)
|
99% |
3713
694.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1668
27.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1638
27.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1662
27.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
38582
46.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
39090
47.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
45670
55.3 IPS |
|
|
Object Detection (F32)
|
100% |
3436
256.5 IPS |
|
|
Object Detection (F16)
|
100% |
3519
262.7 IPS |
|
|
Object Detection (I8)
|
97% |
2190
163.5 IPS |
|
|
Face Detection (F32)
|
100% |
14934
177.6 IPS |
|
|
Face Detection (F16)
|
98% |
16438
195.4 IPS |
|
|
Face Detection (I8)
|
97% |
15671
186.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
24605
190.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
25928
201.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
18324
142.1 IPS |
|
|
Style Transfer (F32)
|
100% |
76834
101.1 IPS |
|
|
Style Transfer (F16)
|
100% |
86189
113.4 IPS |
|
|
Style Transfer (I8)
|
100% |
106412
140.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11688
417.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9967
355.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8920
318.6 IPS |
|
|
Text Classification (F32)
|
100% |
2057
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3475
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3441
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
732
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
754
13.9 IPS |
|
|
Machine Translation (I8)
|
99% |
701
12.9 IPS |
