ASUS System Product Name
Geekbench AI Score
45345
Single Precision Score
67506
Half Precision Score
33574
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | July 22 2025 07:30 PM |
| Views | 7 |
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 CROSSHAIR X870E EXTREME |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17314
3.22 KIPS |
|
|
Image Classification (HP)
|
100% |
22710
4.22 KIPS |
|
|
Image Classification (Q)
|
100% |
14679
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28735
465.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
34850
564.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
27332
444.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
387559
452.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
859797
1.00 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314130
368.0 IPS |
|
|
Object Detection (SP)
|
100% |
24332
1.93 KIPS |
|
|
Object Detection (HP)
|
100% |
31850
2.53 KIPS |
|
|
Object Detection (Q)
|
85% |
19795
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
65483
778.1 IPS |
|
|
Face Detection (HP)
|
100% |
86022
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
52821
629.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
105238
810.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
191911
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74687
598.2 IPS |
|
|
Style Transfer (SP)
|
100% |
596292
766.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1718885
2.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
496664
640.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75469
2.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102077
3.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53083
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5135
6.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6076
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6097
105.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2877
54.0 IPS |
