ASUS System Product Name
Geekbench AI Score
2280
Single Precision Score
1203
Half Precision Score
3472
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | mayslane |
| Upload Date | October 04 2024 02:09 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B560-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
99% |
3293
614.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1958
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3815
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3322
3.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
16155
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.4 IPS |
|
|
Object Detection (Q)
|
88% |
1787
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
2073
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
3850
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4457
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1721
13.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6494
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9942
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8269
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17387
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3501
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
707
944.3 IPS |
|
|
Text Classification (Q)
|
97% |
511
685.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1760
39.3 IPS |
