ASUS System Product Name
Geekbench AI Score
11851
Single Precision Score
11879
Half Precision Score
30752
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | naganannan |
| Upload Date | January 06 2026 09:31 PM |
| Views | 3 |
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% |
7630
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7597
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
19166
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8056
130.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8136
131.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21280
345.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14717
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14707
17.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
57356
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
7447
590.7 IPS |
|
|
Object Detection (HP)
|
100% |
7370
584.6 IPS |
|
|
Object Detection (Q)
|
88% |
20429
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
16898
200.8 IPS |
|
|
Face Detection (HP)
|
100% |
16901
200.8 IPS |
|
|
Face Detection (Q)
|
100% |
49003
582.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18035
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18067
139.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
53817
418.8 IPS |
|
|
Style Transfer (SP)
|
100% |
40276
51.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40231
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
147262
189.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9283
342.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9342
345.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28236
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
6162
8.22 KIPS |
|
|
Text Classification (HP)
|
100% |
6185
8.26 KIPS |
|
|
Text Classification (Q)
|
92% |
9571
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
11562
199.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11770
202.7 IPS |
|
|
Machine Translation (Q)
|
100% |
15082
259.8 IPS |
