Mac Studio
Geekbench AI Score
2789
Single Precision Score
4243
Half Precision Score
3538
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
1623
301.9 IPS |
|
|
Image Classification (Q)
|
99% |
1608
299.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1202
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5662
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13170
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11251
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
1908
151.9 IPS |
|
|
Object Detection (Q)
|
94% |
1483
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
4072
48.4 IPS |
|
|
Face Detection (Q)
|
100% |
2662
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5092
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7906
61.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3941
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14848
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23807
30.6 IPS |
|
|
Style Transfer (Q)
|
100% |
23731
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3322
122.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4229
156.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3255
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3608
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3267
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3267
56.5 IPS |
