ASUS System Product Name
Geekbench AI Score
15227
Single Precision Score
15209
Half Precision Score
36107
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 08 2026 10:11 PM |
| Views | 7 |
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% |
9265
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9262
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
21971
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10382
168.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10185
165.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26962
437.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18750
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18805
21.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
73792
86.4 IPS |
|
|
Object Detection (SP)
|
100% |
9653
765.7 IPS |
|
|
Object Detection (HP)
|
100% |
9642
764.8 IPS |
|
|
Object Detection (Q)
|
88% |
23635
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
29689
352.8 IPS |
|
|
Face Detection (HP)
|
100% |
29556
351.2 IPS |
|
|
Face Detection (Q)
|
100% |
60212
715.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25107
193.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25121
193.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
66841
520.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52291
67.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52339
67.3 IPS |
|
|
Style Transfer (Q)
|
98% |
186204
240.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11602
428.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11656
430.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33865
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
6824
9.11 KIPS |
|
|
Text Classification (HP)
|
100% |
6817
9.10 KIPS |
|
|
Text Classification (Q)
|
92% |
9462
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
12476
214.9 IPS |
|
|
Machine Translation (HP)
|
100% |
12544
216.1 IPS |
|
|
Machine Translation (Q)
|
100% |
15184
261.6 IPS |
