ASUS System Product Name
Geekbench AI Score
48389
Single Precision Score
73517
Half Precision Score
35221
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ibrahim305 |
| Upload Date | July 04 2025 05:03 AM |
| Views | 12 |
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 X870-A GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17362
3.23 KIPS |
|
|
Image Classification (HP)
|
100% |
22665
4.21 KIPS |
|
|
Image Classification (Q)
|
100% |
14977
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39072
633.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
51228
830.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
36265
589.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
401785
468.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
941284
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
323875
379.4 IPS |
|
|
Object Detection (SP)
|
100% |
24729
1.96 KIPS |
|
|
Object Detection (HP)
|
100% |
32436
2.57 KIPS |
|
|
Object Detection (Q)
|
85% |
20215
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
75983
902.8 IPS |
|
|
Face Detection (HP)
|
100% |
104753
1.24 KIPS |
|
|
Face Detection (Q)
|
97% |
59266
706.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
104879
808.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
194897
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75124
601.7 IPS |
|
|
Style Transfer (SP)
|
100% |
604038
776.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1765464
2.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
505334
651.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73229
2.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98107
3.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51927
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
4033
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4936
6.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2333
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
7346
126.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7454
128.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3031
56.8 IPS |
