ASUS System Product Name
Geekbench AI Score
15244
Single Precision Score
15264
Half Precision Score
36134
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 09 2026 12:06 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 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9303
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9385
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
21977
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10456
169.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10424
169.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27423
444.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18883
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18907
22.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
73979
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
9654
765.8 IPS |
|
|
Object Detection (HP)
|
100% |
9712
770.4 IPS |
|
|
Object Detection (Q)
|
88% |
23763
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
29292
348.1 IPS |
|
|
Face Detection (HP)
|
100% |
29306
348.2 IPS |
|
|
Face Detection (Q)
|
100% |
59636
708.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25163
193.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25069
193.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67164
522.7 IPS |
|
|
Style Transfer (SP)
|
100% |
52342
67.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52391
67.3 IPS |
|
|
Style Transfer (Q)
|
98% |
187048
241.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11659
430.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11680
431.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34112
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
6803
9.08 KIPS |
|
|
Text Classification (HP)
|
100% |
6800
9.08 KIPS |
|
|
Text Classification (Q)
|
92% |
9374
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
12491
215.2 IPS |
|
|
Machine Translation (HP)
|
100% |
12508
215.4 IPS |
|
|
Machine Translation (Q)
|
100% |
14951
257.5 IPS |
