ASUS System Product Name
Geekbench AI Score
21519
Single Precision Score
35440
Half Precision Score
16969
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| 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% |
9495
1.77 KIPS |
|
|
Image Classification (HP)
|
99% |
16199
3.02 KIPS |
|
|
Image Classification (Q)
|
99% |
8447
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13629
220.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16508
267.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12587
204.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
112167
130.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
372326
434.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
100324
117.5 IPS |
|
|
Object Detection (SP)
|
100% |
11328
898.5 IPS |
|
|
Object Detection (HP)
|
100% |
19963
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
9908
797.6 IPS |
|
|
Face Detection (SP)
|
100% |
27254
323.8 IPS |
|
|
Face Detection (HP)
|
100% |
45036
535.1 IPS |
|
|
Face Detection (Q)
|
97% |
24127
287.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
46033
354.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93985
726.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
37974
304.9 IPS |
|
|
Style Transfer (SP)
|
100% |
207423
266.6 IPS |
|
|
Style Transfer (HP)
|
100% |
504900
649.1 IPS |
|
|
Style Transfer (Q)
|
98% |
185482
239.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36098
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54775
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26629
986.0 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2679
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1934
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4619
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2141
40.2 IPS |
