ASUS System Product Name
Geekbench AI Score
45005
Single Precision Score
67130
Half Precision Score
32819
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 21 2026 07:40 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850-PLUS WIFI |
| Power Plan | Balanceret |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15828
2.94 KIPS |
|
|
Image Classification (HP)
|
100% |
18446
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
12757
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38031
616.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
49230
798.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
34701
564.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
368735
430.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
953527
1.11 KIPS |
|
|
Pose Estimation (Q)
|
96% |
290461
340.2 IPS |
|
|
Object Detection (SP)
|
100% |
23536
1.87 KIPS |
|
|
Object Detection (HP)
|
100% |
29405
2.33 KIPS |
|
|
Object Detection (Q)
|
85% |
18416
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
71922
854.6 IPS |
|
|
Face Detection (HP)
|
100% |
98813
1.17 KIPS |
|
|
Face Detection (Q)
|
97% |
58226
694.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
96140
740.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
176764
1.36 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73917
592.0 IPS |
|
|
Style Transfer (SP)
|
100% |
548968
705.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1744168
2.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
466207
601.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69997
2.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90268
3.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48763
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3761
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2095
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
7218
124.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7058
121.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2987
56.0 IPS |
