ASUS System Product Name
Geekbench AI Score
17194
Single Precision Score
28647
Half Precision Score
13141
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | HdwJunkie |
| Upload Date | October 21 2024 06:25 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6775
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11818
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
5918
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11793
191.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15719
254.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10810
175.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
87514
102.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
235834
275.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
76784
89.9 IPS |
|
|
Object Detection (SP)
|
100% |
8518
675.7 IPS |
|
|
Object Detection (HP)
|
100% |
14467
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
7106
568.8 IPS |
|
|
Face Detection (SP)
|
100% |
18811
223.5 IPS |
|
|
Face Detection (HP)
|
100% |
29308
348.2 IPS |
|
|
Face Detection (Q)
|
97% |
15521
185.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
38158
294.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76814
591.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
31249
251.0 IPS |
|
|
Style Transfer (SP)
|
100% |
143936
185.0 IPS |
|
|
Style Transfer (HP)
|
100% |
355940
457.6 IPS |
|
|
Style Transfer (Q)
|
98% |
127236
164.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28921
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47008
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21286
788.2 IPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2051
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4055
69.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1633
36.4 IPS |
