ASUS System Product Name
Geekbench AI Score
5674
Single Precision Score
5693
Half Precision Score
8164
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 07:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| 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% |
3789
704.7 IPS |
|
|
Image Classification (HP)
|
100% |
3553
660.7 IPS |
|
|
Image Classification (Q)
|
100% |
5259
978.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3139
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5540
90.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10088
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10362
12.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
22120
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
4129
327.5 IPS |
|
|
Object Detection (HP)
|
100% |
4218
334.6 IPS |
|
|
Object Detection (Q)
|
87% |
6791
544.6 IPS |
|
|
Face Detection (SP)
|
100% |
11005
130.8 IPS |
|
|
Face Detection (HP)
|
100% |
11084
131.7 IPS |
|
|
Face Detection (Q)
|
97% |
20407
243.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11399
87.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
11292
87.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
19356
153.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29798
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29874
38.4 IPS |
|
|
Style Transfer (Q)
|
98% |
61024
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11120
411.9 IPS |
|
|
Text Classification (SP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (Q)
|
91% |
500
672.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (Q)
|
90% |
2245
39.0 IPS |
