ASUS System Product Name
Geekbench AI Score
53658
Single Precision Score
81468
Half Precision Score
39144
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | April 13 2026 08:42 AM |
| Views | 9 |
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% |
19010
3.54 KIPS |
|
|
Image Classification (HP)
|
100% |
25393
4.72 KIPS |
|
|
Image Classification (Q)
|
100% |
16463
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
42266
685.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
55828
905.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
39208
637.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
430110
501.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1071302
1.25 KIPS |
|
|
Pose Estimation (Q)
|
96% |
345519
404.7 IPS |
|
|
Object Detection (SP)
|
100% |
27835
2.21 KIPS |
|
|
Object Detection (HP)
|
100% |
37491
2.97 KIPS |
|
|
Object Detection (Q)
|
85% |
22923
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
83207
988.7 IPS |
|
|
Face Detection (HP)
|
100% |
114489
1.36 KIPS |
|
|
Face Detection (Q)
|
97% |
66049
787.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
125018
963.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
205412
1.58 KIPS |
|
|
Depth Estimation (Q)
|
77% |
87081
697.5 IPS |
|
|
Style Transfer (SP)
|
100% |
644500
828.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1921307
2.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
540268
696.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
82520
3.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
110055
4.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58649
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4563
6.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5499
7.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2651
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
8149
140.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8272
143.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3420
64.1 IPS |
