ASUS System Product Name
Geekbench AI Score
33857
Single Precision Score
59622
Half Precision Score
25515
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13337
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
20661
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
11783
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26665
432.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
41258
668.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24218
393.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
175326
204.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
707632
825.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
157333
184.3 IPS |
|
|
Object Detection (SP)
|
100% |
17997
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
29724
2.36 KIPS |
|
|
Object Detection (Q)
|
86% |
14784
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
52252
620.9 IPS |
|
|
Face Detection (HP)
|
100% |
78494
932.7 IPS |
|
|
Face Detection (Q)
|
97% |
43693
521.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
85343
657.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
145397
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63844
509.8 IPS |
|
|
Style Transfer (SP)
|
100% |
318465
409.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1063968
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
264694
341.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47618
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82187
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35303
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4303
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2233
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
7104
122.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7373
127.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3027
56.8 IPS |
