ASUS System Product Name
Geekbench AI Score
33773
Single Precision Score
49004
Half Precision Score
25899
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 05:11 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12734
2.37 KIPS |
|
|
Image Classification (HP)
|
99% |
17760
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
10920
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21632
350.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27703
449.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20310
330.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
266393
310.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
519951
606.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
236742
277.2 IPS |
|
|
Object Detection (SP)
|
100% |
16798
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23830
1.89 KIPS |
|
|
Object Detection (Q)
|
89% |
14594
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
45075
535.6 IPS |
|
|
Face Detection (HP)
|
100% |
56030
665.8 IPS |
|
|
Face Detection (Q)
|
97% |
37902
451.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
77488
597.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
143788
1.11 KIPS |
|
|
Depth Estimation (Q)
|
70% |
57730
483.6 IPS |
|
|
Style Transfer (SP)
|
100% |
405777
521.6 IPS |
|
|
Style Transfer (HP)
|
100% |
913230
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
355045
457.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55465
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73875
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42383
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4510
6.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2311
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5405
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5345
92.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2329
52.0 IPS |
