ASUS System Product Name
Geekbench AI Score
37619
Single Precision Score
64971
Half Precision Score
27869
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 19 2025 09:44 AM |
| Views | 3 |
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% |
15379
2.86 KIPS |
|
|
Image Classification (HP)
|
100% |
23123
4.30 KIPS |
|
|
Image Classification (Q)
|
100% |
13329
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30090
487.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
45390
735.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
26537
431.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
190926
222.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
779194
909.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
172422
202.0 IPS |
|
|
Object Detection (SP)
|
100% |
20041
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
32782
2.60 KIPS |
|
|
Object Detection (Q)
|
86% |
16215
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
59467
706.6 IPS |
|
|
Face Detection (HP)
|
100% |
88102
1.05 KIPS |
|
|
Face Detection (Q)
|
97% |
48050
572.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
94468
727.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
166743
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70813
565.5 IPS |
|
|
Style Transfer (SP)
|
100% |
356962
458.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1144491
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
292099
376.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50121
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79766
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38877
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4741
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2280
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
8083
139.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7863
135.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3245
60.9 IPS |
