ASUS System Product Name
Geekbench AI Score
32492
Single Precision Score
48210
Half Precision Score
25038
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 01:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11999
2.23 KIPS |
|
|
Image Classification (HP)
|
99% |
17276
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
10619
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24301
393.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32471
526.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21971
357.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
198620
231.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
485036
566.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
177272
207.7 IPS |
|
|
Object Detection (SP)
|
100% |
16243
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
24432
1.94 KIPS |
|
|
Object Detection (Q)
|
85% |
13513
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
46978
558.2 IPS |
|
|
Face Detection (HP)
|
100% |
64228
763.2 IPS |
|
|
Face Detection (Q)
|
97% |
39858
475.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
76743
591.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
126917
980.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
59314
474.2 IPS |
|
|
Style Transfer (SP)
|
100% |
338433
435.1 IPS |
|
|
Style Transfer (HP)
|
100% |
774622
995.8 IPS |
|
|
Style Transfer (Q)
|
98% |
299825
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50457
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61599
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37335
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6365
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6332
109.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2965
55.6 IPS |
