ASUS System Product Name
Geekbench AI Score
30818
Single Precision Score
47247
Half Precision Score
23905
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 09:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Atlas Power Scheme |
| 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% |
12425
2.31 KIPS |
|
|
Image Classification (HP)
|
99% |
18075
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10655
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22932
371.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
29906
484.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20730
337.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
176583
206.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
466431
544.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
160154
187.6 IPS |
|
|
Object Detection (SP)
|
100% |
14414
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
22013
1.75 KIPS |
|
|
Object Detection (Q)
|
85% |
13119
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
45815
544.4 IPS |
|
|
Face Detection (HP)
|
100% |
63825
758.4 IPS |
|
|
Face Detection (Q)
|
97% |
37745
450.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
75343
580.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
129202
998.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
57847
462.5 IPS |
|
|
Style Transfer (SP)
|
100% |
312761
402.1 IPS |
|
|
Style Transfer (HP)
|
100% |
756475
972.5 IPS |
|
|
Style Transfer (Q)
|
98% |
276352
356.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48160
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63682
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36312
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4332
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2112
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5835
100.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5804
100.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2838
53.2 IPS |
