ASUS System Product Name
Geekbench AI Score
42138
Single Precision Score
59431
Half Precision Score
31350
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 10:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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 | High performance |
| 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 | 5.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15048
2.80 KIPS |
|
|
Image Classification (HP)
|
99% |
20370
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
12720
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28608
463.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
37087
601.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
26338
428.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
328042
382.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
574745
670.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
282642
331.2 IPS |
|
|
Object Detection (SP)
|
100% |
21421
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
28928
2.29 KIPS |
|
|
Object Detection (Q)
|
86% |
17611
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
62660
744.5 IPS |
|
|
Face Detection (HP)
|
100% |
81925
973.4 IPS |
|
|
Face Detection (Q)
|
97% |
51877
618.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
98329
757.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
169105
1.30 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71669
573.2 IPS |
|
|
Style Transfer (SP)
|
100% |
590709
759.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1178510
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
501382
646.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63781
2.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85812
3.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46036
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4886
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2262
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6452
111.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6394
110.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2833
53.1 IPS |
