Mac Studio
Geekbench AI Score
3786
Single Precision Score
15207
Half Precision Score
12252
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | October 30 2024 12:38 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
6889
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6655
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9816
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10442
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11023
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71586
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67547
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
99% |
8058
641.0 IPS |
|
|
Object Detection (Q)
|
91% |
7416
592.5 IPS |
|
|
Face Detection (SP)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
15902
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
15355
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5807
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51852
399.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53752
420.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22418
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120777
155.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117490
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4481
165.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10697
395.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1385
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3500
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4002
69.2 IPS |
