Mac Studio
Geekbench AI Score
3749
Single Precision Score
15380
Half Precision Score
15876
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | October 30 2024 12:32 PM |
| Views | 16 |
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% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
6782
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
7276
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8121
131.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
8125
131.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11032
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69214
80.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
65633
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
99% |
7435
591.5 IPS |
|
|
Object Detection (Q)
|
91% |
7427
593.5 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
11968
142.2 IPS |
|
|
Face Detection (Q)
|
100% |
13789
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5886
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45824
353.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
49012
379.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22477
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
117381
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
122570
157.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4372
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26426
975.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27938
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3823
66.1 IPS |
