ASUS System Product Name
Geekbench AI Score
38757
Single Precision Score
66792
Half Precision Score
28975
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 04:07 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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 9 9950X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14876
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
22382
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
13157
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30565
495.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
45798
742.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
27562
448.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
233710
272.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
758452
885.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
196243
229.9 IPS |
|
|
Object Detection (SP)
|
100% |
20770
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
33400
2.65 KIPS |
|
|
Object Detection (Q)
|
86% |
17643
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
60354
717.1 IPS |
|
|
Face Detection (HP)
|
100% |
91572
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
48404
577.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
91218
702.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
169988
1.31 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67140
536.2 IPS |
|
|
Style Transfer (SP)
|
100% |
346031
444.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1180029
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
299169
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57164
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92150
3.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43230
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
4047
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5086
6.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2455
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7863
135.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7905
136.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3220
60.4 IPS |
