ASUS System Product Name
Geekbench AI Score
15746
Single Precision Score
15786
Half Precision Score
37312
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | PickleRickk |
| Upload Date | January 25 2026 07:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Revision - Ultra 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9607
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9593
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
22661
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10879
176.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10676
173.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28246
457.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19310
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19430
22.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
76666
89.8 IPS |
|
|
Object Detection (SP)
|
100% |
10002
793.4 IPS |
|
|
Object Detection (HP)
|
100% |
10016
794.5 IPS |
|
|
Object Detection (Q)
|
88% |
24400
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
31023
368.6 IPS |
|
|
Face Detection (HP)
|
100% |
31100
369.5 IPS |
|
|
Face Detection (Q)
|
100% |
62380
741.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25797
198.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25868
199.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
69184
538.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53168
68.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53208
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
190119
245.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11843
437.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12029
444.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35124
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
7214
9.63 KIPS |
|
|
Text Classification (HP)
|
100% |
7178
9.58 KIPS |
|
|
Text Classification (Q)
|
92% |
9633
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
12773
220.0 IPS |
|
|
Machine Translation (HP)
|
100% |
13050
224.8 IPS |
|
|
Machine Translation (Q)
|
100% |
15735
271.0 IPS |
