ASUS System Product Name
Geekbench AI Score
32550
Single Precision Score
55377
Half Precision Score
24830
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 08:57 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X870-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13877
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
20890
3.88 KIPS |
|
|
Image Classification (Q)
|
100% |
12230
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21628
350.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
30586
495.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20028
325.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
173599
202.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
660893
771.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
156157
182.9 IPS |
|
|
Object Detection (SP)
|
100% |
17370
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
28572
2.27 KIPS |
|
|
Object Detection (Q)
|
86% |
14374
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
48655
578.1 IPS |
|
|
Face Detection (HP)
|
100% |
67721
804.7 IPS |
|
|
Face Detection (Q)
|
97% |
39826
474.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
84613
651.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
143286
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63473
506.9 IPS |
|
|
Style Transfer (SP)
|
100% |
315338
405.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1026292
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
265806
342.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47612
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78219
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35559
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4729
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2378
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6067
104.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6103
105.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2852
53.5 IPS |
