ASUS System Product Name
Geekbench AI Score
50376
Single Precision Score
77580
Half Precision Score
36980
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 30 2025 09:12 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | Desempenho Mximo |
| 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% |
18052
3.36 KIPS |
|
|
Image Classification (HP)
|
100% |
23828
4.43 KIPS |
|
|
Image Classification (Q)
|
100% |
15599
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39733
644.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
52549
851.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
36754
597.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
409266
477.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
1037115
1.21 KIPS |
|
|
Pose Estimation (Q)
|
96% |
328823
385.2 IPS |
|
|
Object Detection (SP)
|
100% |
26568
2.11 KIPS |
|
|
Object Detection (HP)
|
100% |
36093
2.86 KIPS |
|
|
Object Detection (Q)
|
85% |
21797
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
80115
951.9 IPS |
|
|
Face Detection (HP)
|
100% |
110901
1.32 KIPS |
|
|
Face Detection (Q)
|
97% |
62932
750.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
110094
848.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
197241
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78965
632.5 IPS |
|
|
Style Transfer (SP)
|
100% |
602005
773.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1826954
2.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
508046
655.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76804
2.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104022
3.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55238
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4224
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5156
6.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2525
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
7835
135.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7862
135.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3306
62.0 IPS |
