ASUS System Product Name
Geekbench AI Score
52415
Single Precision Score
79594
Half Precision Score
38140
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | February 10 2026 04:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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% |
18743
3.49 KIPS |
|
|
Image Classification (HP)
|
100% |
24614
4.58 KIPS |
|
|
Image Classification (Q)
|
100% |
16246
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
42156
683.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
55254
895.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
38790
630.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
423630
494.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
1055678
1.23 KIPS |
|
|
Pose Estimation (Q)
|
96% |
338960
397.0 IPS |
|
|
Object Detection (SP)
|
100% |
27480
2.18 KIPS |
|
|
Object Detection (HP)
|
100% |
35972
2.85 KIPS |
|
|
Object Detection (Q)
|
85% |
22222
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
81798
971.9 IPS |
|
|
Face Detection (HP)
|
100% |
112806
1.34 KIPS |
|
|
Face Detection (Q)
|
97% |
64308
766.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
112814
869.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
203391
1.57 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80345
643.5 IPS |
|
|
Style Transfer (SP)
|
100% |
638061
820.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1884673
2.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
532025
686.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80095
2.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104459
3.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56745
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
4439
5.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5341
7.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2619
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
8129
140.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8191
141.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3359
63.0 IPS |
