Mac Studio
Geekbench AI Score
2033
Single Precision Score
12620
Half Precision Score
12958
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 15 2024 05:32 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
900
167.3 IPS |
|
|
Image Classification (HP)
|
100% |
7206
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
7608
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3853
62.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3853
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69304
80.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
65607
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (HP)
|
99% |
7485
595.4 IPS |
|
|
Object Detection (Q)
|
93% |
7048
562.3 IPS |
|
|
Face Detection (SP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
10904
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
10864
129.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3236
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45701
352.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
48952
378.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12128
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117420
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
122906
158.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18719
691.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23121
856.6 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (Q)
|
93% |
3443
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1893
32.7 IPS |
