ASUS System x670 hero ASUS System Product Name
Geekbench AI Score
3209
Single Precision Score
859
Half Precision Score
4929
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | arrivederci |
| Upload Date | August 16 2024 11:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Yksek performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
99% |
4498
839.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
2745
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6746
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5455
6.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
32738
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
88% |
2018
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
331
3.93 IPS |
|
|
Face Detection (Q)
|
97% |
5872
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7038
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1075
8.28 IPS |
|
|
Depth Estimation (Q)
|
76% |
12158
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15772
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14275
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35857
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3541
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
638
851.5 IPS |
|
|
Text Classification (Q)
|
97% |
443
593.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2585
57.7 IPS |
