Mac Studio
Geekbench AI Score
2775
Single Precision Score
4195
Half Precision Score
3647
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | NSX_Daniel |
| Upload Date | October 04 2024 07:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
1611
299.6 IPS |
|
|
Image Classification (Q)
|
96% |
1274
237.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1686
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5656
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13176
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11404
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
97% |
1906
151.7 IPS |
|
|
Object Detection (Q)
|
94% |
1482
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
4059
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
2583
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5066
39.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7882
60.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6054
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14747
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23674
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20042
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3272
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3531
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3163
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3173
54.8 IPS |
