ASUS System Product Name
Geekbench AI Score
44068
Single Precision Score
64463
Half Precision Score
33207
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 20 2025 10:49 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Performances leves |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16344
3.04 KIPS |
|
|
Image Classification (HP)
|
100% |
21409
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
14287
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25294
410.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
30185
489.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24347
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
386524
451.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
864132
1.01 KIPS |
|
|
Pose Estimation (Q)
|
96% |
308472
361.3 IPS |
|
|
Object Detection (SP)
|
100% |
23633
1.87 KIPS |
|
|
Object Detection (HP)
|
100% |
30635
2.43 KIPS |
|
|
Object Detection (Q)
|
85% |
19377
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
64224
763.1 IPS |
|
|
Face Detection (HP)
|
100% |
81531
968.8 IPS |
|
|
Face Detection (Q)
|
97% |
52748
629.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
108043
832.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
188990
1.46 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78249
626.7 IPS |
|
|
Style Transfer (SP)
|
100% |
603945
776.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1664204
2.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
516677
666.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75019
2.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98624
3.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53649
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
4237
5.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5206
6.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2488
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5491
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5502
94.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2755
51.7 IPS |
