ASUS System Product Name
Geekbench AI Score
50883
Single Precision Score
77775
Half Precision Score
36871
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 14 2025 04:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D V2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18268
3.40 KIPS |
|
|
Image Classification (HP)
|
100% |
23992
4.46 KIPS |
|
|
Image Classification (Q)
|
100% |
15527
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39653
642.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
52208
846.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
36468
593.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
403925
471.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
1015956
1.19 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326354
382.3 IPS |
|
|
Object Detection (SP)
|
100% |
27022
2.14 KIPS |
|
|
Object Detection (HP)
|
100% |
36035
2.86 KIPS |
|
|
Object Detection (Q)
|
85% |
22157
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
79130
940.2 IPS |
|
|
Face Detection (HP)
|
100% |
109433
1.30 KIPS |
|
|
Face Detection (Q)
|
97% |
62212
741.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
109467
843.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
200448
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77893
623.9 IPS |
|
|
Style Transfer (SP)
|
100% |
619800
796.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1839048
2.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
516233
665.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80156
2.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
106598
3.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55944
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4305
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
5193
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2505
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
7943
136.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7909
136.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3235
60.7 IPS |
