ASUS System Product Name
Geekbench AI Score
38505
Single Precision Score
67408
Half Precision Score
28860
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 11eaven |
| Upload Date | December 10 2025 05:57 AM |
| Views | 10 |
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. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
15355
2.86 KIPS |
|
|
Image Classification (HP)
|
100% |
23340
4.34 KIPS |
|
|
Image Classification (Q)
|
100% |
13712
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30560
495.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
46193
748.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
27046
439.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
195022
227.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
787630
919.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
175888
206.0 IPS |
|
|
Object Detection (SP)
|
100% |
20395
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
33802
2.68 KIPS |
|
|
Object Detection (Q)
|
86% |
16703
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
60698
721.2 IPS |
|
|
Face Detection (HP)
|
100% |
89965
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
48645
580.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
95832
738.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
168068
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71372
569.9 IPS |
|
|
Style Transfer (SP)
|
100% |
359813
462.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1179439
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
298823
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54828
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90420
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41509
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
5087
6.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2554
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
8193
141.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8227
141.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3346
62.8 IPS |
