ASUS System Product Name
Geekbench AI Score
12630
Single Precision Score
12543
Half Precision Score
33423
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 23 2026 11:51 AM |
| Views | 9 |
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% |
8421
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
8262
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
20711
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8979
145.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8248
133.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24633
399.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16920
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16316
19.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
67565
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
8344
661.8 IPS |
|
|
Object Detection (HP)
|
100% |
8644
685.7 IPS |
|
|
Object Detection (Q)
|
88% |
22124
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
13992
166.3 IPS |
|
|
Face Detection (HP)
|
100% |
14120
167.8 IPS |
|
|
Face Detection (Q)
|
100% |
54840
651.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22221
171.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22120
170.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
60862
473.6 IPS |
|
|
Style Transfer (SP)
|
100% |
45324
58.3 IPS |
|
|
Style Transfer (HP)
|
100% |
44837
57.6 IPS |
|
|
Style Transfer (Q)
|
98% |
172966
223.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9605
354.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9925
366.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32269
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
6348
8.47 KIPS |
|
|
Text Classification (HP)
|
100% |
6393
8.53 KIPS |
|
|
Text Classification (Q)
|
92% |
8979
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
11261
194.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11291
194.5 IPS |
|
|
Machine Translation (Q)
|
100% |
13638
234.9 IPS |
