ASUS System Product Name
Geekbench AI Score
25705
Single Precision Score
39064
Half Precision Score
19586
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | porina |
| Upload Date | August 15 2024 08:12 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING 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% |
9885
1.84 KIPS |
|
|
Image Classification (HP)
|
99% |
14810
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
8574
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18411
298.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23972
388.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16857
274.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
153443
179.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
346381
404.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
135505
158.7 IPS |
|
|
Object Detection (SP)
|
100% |
12807
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
20180
1.60 KIPS |
|
|
Object Detection (Q)
|
88% |
11021
883.8 IPS |
|
|
Face Detection (SP)
|
100% |
30985
368.2 IPS |
|
|
Face Detection (HP)
|
100% |
45714
543.2 IPS |
|
|
Face Detection (Q)
|
97% |
25464
303.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
57792
445.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103778
799.5 IPS |
|
|
Depth Estimation (Q)
|
70% |
43741
366.2 IPS |
|
|
Style Transfer (SP)
|
100% |
266164
342.2 IPS |
|
|
Style Transfer (HP)
|
100% |
574201
738.1 IPS |
|
|
Style Transfer (Q)
|
98% |
235293
303.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44945
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53830
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31483
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
4474
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2198
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4806
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5083
87.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2123
47.4 IPS |
