ASUS System Product Name
Geekbench AI Score
11919
Single Precision Score
11926
Half Precision Score
30880
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | naganannan |
| Upload Date | January 06 2026 09:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7615
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7568
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
19301
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8185
132.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8054
130.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21452
347.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14668
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14749
17.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
57613
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
7468
592.4 IPS |
|
|
Object Detection (HP)
|
100% |
7481
593.4 IPS |
|
|
Object Detection (Q)
|
88% |
20197
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
17725
210.6 IPS |
|
|
Face Detection (HP)
|
100% |
17747
210.9 IPS |
|
|
Face Detection (Q)
|
100% |
49356
586.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18018
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17915
138.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
53939
419.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39888
51.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40220
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
147227
189.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9284
342.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9331
344.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28463
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
6168
8.23 KIPS |
|
|
Text Classification (HP)
|
100% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
92% |
9688
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11619
200.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11793
203.1 IPS |
|
|
Machine Translation (Q)
|
100% |
15145
260.9 IPS |
