ASUS System Product Name
Geekbench AI Score
31711
Single Precision Score
46052
Half Precision Score
24317
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 04:19 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanserat |
| 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% |
12018
2.23 KIPS |
|
|
Image Classification (HP)
|
99% |
16694
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
10269
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20665
335.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25811
418.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19066
310.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
249264
290.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
476668
556.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
222077
260.1 IPS |
|
|
Object Detection (SP)
|
100% |
15924
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
22584
1.79 KIPS |
|
|
Object Detection (Q)
|
89% |
13843
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
42346
503.2 IPS |
|
|
Face Detection (HP)
|
100% |
54066
642.4 IPS |
|
|
Face Detection (Q)
|
97% |
34182
407.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
71649
552.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
129530
998.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
56220
453.3 IPS |
|
|
Style Transfer (SP)
|
100% |
384666
494.5 IPS |
|
|
Style Transfer (HP)
|
100% |
871058
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
341660
440.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51353
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70555
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39775
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3450
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
4279
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2142
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5023
86.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2148
47.9 IPS |
