ASUS System Product Name
Geekbench AI Score
5506
Single Precision Score
1032
Half Precision Score
6520
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Fasttrack |
| Upload Date | August 29 2024 12:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2793
519.5 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
99% |
4915
916.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2773
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
3967
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13670
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5469
6.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
41364
48.5 IPS |
|
|
Object Detection (SP)
|
100% |
3784
300.1 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (Q)
|
88% |
2637
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
6277
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
405
4.81 IPS |
|
|
Face Detection (Q)
|
97% |
6963
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12832
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1191
9.18 IPS |
|
|
Depth Estimation (Q)
|
76% |
15504
124.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30776
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14126
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38916
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2600
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6412
237.4 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
731
978.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2429
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
60% |
3316
74.0 IPS |
