ASUS System Product Name
Geekbench AI Score
44602
Single Precision Score
64783
Half Precision Score
32764
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 02:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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% |
17213
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
21029
3.91 KIPS |
|
|
Image Classification (Q)
|
100% |
14244
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27123
439.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
32768
531.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
26463
430.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
393338
459.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
885626
1.03 KIPS |
|
|
Pose Estimation (Q)
|
94% |
315910
370.5 IPS |
|
|
Object Detection (SP)
|
100% |
23594
1.87 KIPS |
|
|
Object Detection (HP)
|
100% |
30715
2.44 KIPS |
|
|
Object Detection (Q)
|
89% |
20429
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
63167
750.6 IPS |
|
|
Face Detection (HP)
|
100% |
82334
978.3 IPS |
|
|
Face Detection (Q)
|
97% |
50650
603.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
105325
811.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
186774
1.44 KIPS |
|
|
Depth Estimation (Q)
|
74% |
72919
594.2 IPS |
|
|
Style Transfer (SP)
|
100% |
595407
765.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1564213
2.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
498530
642.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75861
2.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98974
3.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53325
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
4233
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5111
6.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2480
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5654
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5709
98.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2407
53.7 IPS |
