ASUS System Product Name
Geekbench AI Score
53647
Single Precision Score
81810
Half Precision Score
39092
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | April 19 2026 03:01 PM |
| Views | 4 |
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% |
19021
3.54 KIPS |
|
|
Image Classification (HP)
|
100% |
25241
4.69 KIPS |
|
|
Image Classification (Q)
|
100% |
16399
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
42317
686.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
55815
904.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
39229
637.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
430229
502.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
1080350
1.26 KIPS |
|
|
Pose Estimation (Q)
|
96% |
343844
402.8 IPS |
|
|
Object Detection (SP)
|
100% |
27894
2.21 KIPS |
|
|
Object Detection (HP)
|
100% |
38028
3.02 KIPS |
|
|
Object Detection (Q)
|
85% |
22915
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
83408
991.1 IPS |
|
|
Face Detection (HP)
|
100% |
115601
1.37 KIPS |
|
|
Face Detection (Q)
|
97% |
66157
788.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
124898
962.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
205350
1.58 KIPS |
|
|
Depth Estimation (Q)
|
77% |
87122
697.8 IPS |
|
|
Style Transfer (SP)
|
100% |
643849
827.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1951969
2.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
539513
695.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
82126
3.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
110060
4.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58199
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4499
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5467
7.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2666
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
8249
142.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8323
143.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3408
63.9 IPS |
