ASUS System Product Name
Geekbench AI Score
3764
Single Precision Score
891
Half Precision Score
4072
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 07:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1677
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
156
28.9 IPS |
|
|
Image Classification (Q)
|
97% |
3651
681.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (Q)
|
97% |
2624
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10409
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7000
8.17 IPS |
|
|
Pose Estimation (Q)
|
87% |
19296
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
86% |
1988
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
335
3.97 IPS |
|
|
Face Detection (Q)
|
96% |
4872
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9176
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1058
8.15 IPS |
|
|
Depth Estimation (Q)
|
76% |
9115
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21966
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18196
23.4 IPS |
|
|
Style Transfer (Q)
|
87% |
23591
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3362
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
587
784.1 IPS |
|
|
Text Classification (Q)
|
97% |
413
553.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2347
52.4 IPS |
