ASUS System Product Name
Geekbench AI Score
49950
Single Precision Score
75160
Half Precision Score
36105
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 03:29 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| 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% |
17157
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
22231
4.13 KIPS |
|
|
Image Classification (Q)
|
100% |
14406
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39172
635.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
51711
838.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
36068
586.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
406571
474.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
977329
1.14 KIPS |
|
|
Pose Estimation (Q)
|
96% |
317940
372.4 IPS |
|
|
Object Detection (SP)
|
100% |
25893
2.05 KIPS |
|
|
Object Detection (HP)
|
100% |
34810
2.76 KIPS |
|
|
Object Detection (Q)
|
85% |
21119
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
77957
926.3 IPS |
|
|
Face Detection (HP)
|
100% |
107684
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
61379
731.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
110135
848.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
195661
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78762
630.8 IPS |
|
|
Style Transfer (SP)
|
100% |
641820
825.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1829790
2.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
534000
688.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77733
2.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103363
3.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54739
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
4159
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4893
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2364
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
7671
132.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7544
129.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3230
60.6 IPS |
