ASUS System Product Name
Geekbench AI Score
37418
Single Precision Score
61925
Half Precision Score
28413
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | darkpwny |
| Upload Date | April 04 2025 10:34 PM |
| Views | 14 |
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. ROG CROSSHAIR X870E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14884
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
21281
3.96 KIPS |
|
|
Image Classification (Q)
|
100% |
12927
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27942
453.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
40107
650.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25385
412.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
241314
281.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
716830
836.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
203095
237.9 IPS |
|
|
Object Detection (SP)
|
100% |
19802
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
29846
2.37 KIPS |
|
|
Object Detection (Q)
|
86% |
16975
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
57657
685.1 IPS |
|
|
Face Detection (HP)
|
100% |
85533
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
47708
568.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
92612
713.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
165124
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68861
549.9 IPS |
|
|
Style Transfer (SP)
|
100% |
343121
441.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1118265
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
304060
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55568
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84604
3.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42492
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3788
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4771
6.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2307
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
7020
120.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7123
122.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3096
58.1 IPS |
