ASUS System Product Name
Geekbench AI Score
37167
Single Precision Score
62510
Half Precision Score
28015
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 09:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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% |
14404
2.68 KIPS |
|
|
Image Classification (HP)
|
100% |
21488
4.00 KIPS |
|
|
Image Classification (Q)
|
100% |
12603
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27254
441.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
38679
627.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25036
407.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
239876
279.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
752326
877.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
203249
238.1 IPS |
|
|
Object Detection (SP)
|
100% |
19771
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
30754
2.44 KIPS |
|
|
Object Detection (Q)
|
86% |
16577
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
57597
684.4 IPS |
|
|
Face Detection (HP)
|
100% |
84783
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
47323
564.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
89549
689.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
169031
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66856
533.9 IPS |
|
|
Style Transfer (SP)
|
100% |
348705
448.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1145924
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
302275
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55906
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86940
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42057
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4866
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2288
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6829
117.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6819
117.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3044
57.1 IPS |
