ASUS System Product Name
Geekbench AI Score
36828
Single Precision Score
60366
Half Precision Score
28129
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | marian1305 |
| Upload Date | June 20 2025 06:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14185
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
20325
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
12453
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27612
447.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
39374
638.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24800
403.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
245105
286.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
729696
851.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
209553
245.5 IPS |
|
|
Object Detection (SP)
|
100% |
19170
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
28558
2.27 KIPS |
|
|
Object Detection (Q)
|
86% |
16338
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
57536
683.6 IPS |
|
|
Face Detection (HP)
|
100% |
84207
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
46644
556.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
93246
718.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
165041
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68122
544.0 IPS |
|
|
Style Transfer (SP)
|
100% |
352800
453.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1139895
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
310151
399.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55005
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83924
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42260
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4278
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2302
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6922
119.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6775
116.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3060
57.4 IPS |
