Asus based home build PC ASUS System Product Name
Geekbench AI Score
41600
Single Precision Score
68460
Half Precision Score
31173
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | GrumpyJim |
| Upload Date | May 26 2025 10:21 PM |
| 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 X670E-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15845
2.95 KIPS |
|
|
Image Classification (HP)
|
100% |
22436
4.17 KIPS |
|
|
Image Classification (Q)
|
100% |
13822
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33264
539.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
48668
788.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
29785
484.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
264305
308.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
802596
936.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
225975
264.7 IPS |
|
|
Object Detection (SP)
|
100% |
22086
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
33147
2.63 KIPS |
|
|
Object Detection (Q)
|
86% |
18482
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
64975
772.0 IPS |
|
|
Face Detection (HP)
|
100% |
94598
1.12 KIPS |
|
|
Face Detection (Q)
|
97% |
51913
619.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
100421
773.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
178450
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
73054
583.4 IPS |
|
|
Style Transfer (SP)
|
100% |
394680
507.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1256256
1.61 KIPS |
|
|
Style Transfer (Q)
|
98% |
341039
439.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61925
2.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94069
3.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46125
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4726
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2528
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
8158
140.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8257
142.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3342
62.7 IPS |
