ASUS System Product Name
Geekbench AI Score
16405
Single Precision Score
16450
Half Precision Score
35405
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 04:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870-F GAMING WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10915
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
10934
2.03 KIPS |
|
|
Image Classification (Q)
|
100% |
22695
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10511
170.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10520
170.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22357
362.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18911
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15775
18.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
44925
52.6 IPS |
|
|
Object Detection (SP)
|
100% |
9643
764.9 IPS |
|
|
Object Detection (HP)
|
100% |
11215
889.6 IPS |
|
|
Object Detection (Q)
|
88% |
25851
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
33485
397.9 IPS |
|
|
Face Detection (HP)
|
100% |
32281
383.6 IPS |
|
|
Face Detection (Q)
|
100% |
61355
729.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
29794
229.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29541
227.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
76057
591.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56719
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
62197
80.0 IPS |
|
|
Style Transfer (Q)
|
98% |
218514
281.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13670
504.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13637
503.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39592
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
8109
10.8 KIPS |
|
|
Text Classification (HP)
|
100% |
8154
10.9 KIPS |
|
|
Text Classification (Q)
|
92% |
10673
14.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
10764
185.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10812
186.2 IPS |
|
|
Machine Translation (Q)
|
100% |
12192
210.0 IPS |
