ASUS System Product Name
Geekbench AI Score
33665
Single Precision Score
57968
Half Precision Score
25194
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 06:44 PM |
| 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. TUF GAMING B650M-E |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13355
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
20365
3.79 KIPS |
|
|
Image Classification (Q)
|
100% |
11614
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25300
410.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
37705
611.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20481
333.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
176579
206.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
702971
820.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
159559
186.9 IPS |
|
|
Object Detection (SP)
|
100% |
17440
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
27798
2.20 KIPS |
|
|
Object Detection (Q)
|
86% |
14464
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
51817
615.7 IPS |
|
|
Face Detection (HP)
|
100% |
74997
891.1 IPS |
|
|
Face Detection (Q)
|
97% |
42790
510.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
86386
665.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
151521
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65057
519.5 IPS |
|
|
Style Transfer (SP)
|
100% |
318673
409.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1007550
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
264554
341.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48118
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78770
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37011
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4501
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2314
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
7070
121.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7035
121.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2976
55.8 IPS |
