ASUS System Product Name
Geekbench AI Score
19456
Single Precision Score
35492
Half Precision Score
14653
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 07:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8063
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
14904
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
6934
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13137
213.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19285
312.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12233
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
98812
115.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
305051
355.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
80817
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
10519
834.4 IPS |
|
|
Object Detection (HP)
|
100% |
17269
1.37 KIPS |
|
|
Object Detection (Q)
|
89% |
9326
746.7 IPS |
|
|
Face Detection (SP)
|
100% |
23227
276.0 IPS |
|
|
Face Detection (HP)
|
100% |
37358
443.9 IPS |
|
|
Face Detection (Q)
|
97% |
19104
227.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
48222
371.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95755
737.7 IPS |
|
|
Depth Estimation (Q)
|
72% |
37259
308.7 IPS |
|
|
Style Transfer (SP)
|
100% |
151554
194.8 IPS |
|
|
Style Transfer (HP)
|
100% |
519673
668.0 IPS |
|
|
Style Transfer (Q)
|
98% |
127834
164.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28827
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56898
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22216
822.6 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4468
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2228
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4091
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1585
35.4 IPS |
