ASUS System Product Name
Geekbench AI Score
3845
Single Precision Score
878
Half Precision Score
5236
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:32 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| Power Plan | Hchstleistung |
| 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% |
2477
460.7 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.5 IPS |
|
|
Image Classification (Q)
|
99% |
5523
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
2509
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5585
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4626
5.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
24789
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (Q)
|
88% |
2399
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
5413
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (Q)
|
97% |
7212
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7546
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1063
8.19 IPS |
|
|
Depth Estimation (Q)
|
76% |
13801
111.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15328
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11972
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32478
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2175
80.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4541
168.2 IPS |
|
|
Text Classification (SP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
437
584.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2895
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2932
65.4 IPS |
