ASUS System Product Name
Geekbench AI Score
36641
Single Precision Score
65463
Half Precision Score
27385
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | November 22 2025 07:50 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14911
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
23571
4.38 KIPS |
|
|
Image Classification (Q)
|
100% |
13204
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28864
467.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
45301
734.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25779
419.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
180130
210.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
749281
874.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
163207
191.2 IPS |
|
|
Object Detection (SP)
|
100% |
19168
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
33213
2.63 KIPS |
|
|
Object Detection (Q)
|
86% |
15685
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
57043
677.8 IPS |
|
|
Face Detection (HP)
|
100% |
85026
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
45835
546.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
88805
684.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
160227
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66379
530.1 IPS |
|
|
Style Transfer (SP)
|
100% |
335709
431.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1097116
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
278034
358.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51323
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88782
3.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39227
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4112
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5076
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2505
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
8180
140.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8076
139.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3276
61.4 IPS |
