ASUS System Product Name
Geekbench AI Score
39702
Single Precision Score
67868
Half Precision Score
29729
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:20 PM |
| Views | 2 |
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. ProArt X870E-CREATOR WIFI |
| Power Plan | Balanced |
| 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% |
15219
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
22678
4.22 KIPS |
|
|
Image Classification (Q)
|
100% |
13484
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31230
506.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
46471
753.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
27771
451.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
241341
281.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
782481
913.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
206152
241.5 IPS |
|
|
Object Detection (SP)
|
100% |
21471
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
34163
2.71 KIPS |
|
|
Object Detection (Q)
|
86% |
18100
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
62209
739.2 IPS |
|
|
Face Detection (HP)
|
100% |
93643
1.11 KIPS |
|
|
Face Detection (Q)
|
97% |
50135
597.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
93632
721.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
178555
1.38 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68503
547.0 IPS |
|
|
Style Transfer (SP)
|
100% |
358699
461.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1201332
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
310723
400.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59770
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92143
3.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44859
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4962
6.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2463
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
8016
138.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8014
138.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3274
61.4 IPS |
