ASUS System Product Name
Geekbench AI Score
52032
Single Precision Score
78990
Half Precision Score
37916
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 23 2026 11:49 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% |
18680
3.47 KIPS |
|
|
Image Classification (HP)
|
100% |
24549
4.57 KIPS |
|
|
Image Classification (Q)
|
100% |
16291
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
42003
680.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
55282
896.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
38542
626.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
422731
493.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
1042553
1.22 KIPS |
|
|
Pose Estimation (Q)
|
96% |
338933
397.0 IPS |
|
|
Object Detection (SP)
|
100% |
26123
2.07 KIPS |
|
|
Object Detection (HP)
|
100% |
34400
2.73 KIPS |
|
|
Object Detection (Q)
|
85% |
21828
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
81342
966.5 IPS |
|
|
Face Detection (HP)
|
100% |
111080
1.32 KIPS |
|
|
Face Detection (Q)
|
97% |
63724
759.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
112191
864.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
202646
1.56 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79177
634.2 IPS |
|
|
Style Transfer (SP)
|
100% |
632706
813.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1846732
2.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
526892
679.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80537
2.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
105908
3.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56629
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
4455
5.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2594
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
8104
139.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8180
140.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3386
63.5 IPS |
