ASUS System Product Name
Geekbench AI Score
14396
Single Precision Score
14378
Half Precision Score
34377
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | February 10 2026 04:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Yksek performans |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8828
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
8804
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
21005
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9965
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9697
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26101
423.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17453
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17466
20.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
70070
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
9258
734.4 IPS |
|
|
Object Detection (HP)
|
100% |
9236
732.6 IPS |
|
|
Object Detection (Q)
|
88% |
22856
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
28794
342.1 IPS |
|
|
Face Detection (HP)
|
100% |
28903
343.4 IPS |
|
|
Face Detection (Q)
|
100% |
57096
678.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23070
177.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22876
176.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
62442
485.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49402
63.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49362
63.5 IPS |
|
|
Style Transfer (Q)
|
98% |
177661
229.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10666
393.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11148
411.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32457
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
6565
8.76 KIPS |
|
|
Text Classification (HP)
|
100% |
6478
8.65 KIPS |
|
|
Text Classification (Q)
|
92% |
8934
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11712
201.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11638
200.5 IPS |
|
|
Machine Translation (Q)
|
100% |
14294
246.2 IPS |
