ASUS System Product Name
Geekbench AI Score
37082
Single Precision Score
64502
Half Precision Score
28071
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 11eaven |
| Upload Date | November 19 2025 11:40 AM |
| Views | 2 |
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% |
14380
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
21537
4.01 KIPS |
|
|
Image Classification (Q)
|
100% |
12677
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30012
486.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
45523
738.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
26753
435.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
192095
224.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
746332
870.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
173075
202.7 IPS |
|
|
Object Detection (SP)
|
100% |
18576
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
31963
2.54 KIPS |
|
|
Object Detection (Q)
|
86% |
15451
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
58237
692.0 IPS |
|
|
Face Detection (HP)
|
100% |
84246
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
47815
570.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
94605
728.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
166732
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70075
559.6 IPS |
|
|
Style Transfer (SP)
|
100% |
354732
456.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1140999
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
293609
378.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49962
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79097
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40233
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2569
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
8073
139.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8122
139.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3295
61.8 IPS |
