ASUS System Product Name
Geekbench AI Score
40014
Single Precision Score
66243
Half Precision Score
30057
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 20 2025 02:01 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16155
3.00 KIPS |
|
|
Image Classification (HP)
|
100% |
24153
4.49 KIPS |
|
|
Image Classification (Q)
|
100% |
14173
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27232
441.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
37646
610.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24997
406.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
256311
299.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
769677
898.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
218357
255.8 IPS |
|
|
Object Detection (SP)
|
100% |
21088
1.67 KIPS |
|
|
Object Detection (HP)
|
100% |
31996
2.54 KIPS |
|
|
Object Detection (Q)
|
86% |
17965
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
59692
709.3 IPS |
|
|
Face Detection (HP)
|
100% |
84406
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
48346
576.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
98313
757.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
173940
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71438
570.5 IPS |
|
|
Style Transfer (SP)
|
100% |
384617
494.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1250279
1.61 KIPS |
|
|
Style Transfer (Q)
|
98% |
329390
424.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63053
2.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97247
3.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45916
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
4393
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5691
7.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2665
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
7078
121.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7153
123.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3111
58.4 IPS |
