ASUS System Product Name
Geekbench AI Score
52119
Single Precision Score
76499
Half Precision Score
37665
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | February 13 2025 04:11 PM |
| Views | 162 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Revision - Ultra Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
20040
3.73 KIPS |
|
|
Image Classification (HP)
|
100% |
25021
4.65 KIPS |
|
|
Image Classification (Q)
|
100% |
16391
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34404
557.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
42482
688.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
33196
539.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
444533
518.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
1026839
1.20 KIPS |
|
|
Pose Estimation (Q)
|
94% |
345133
404.8 IPS |
|
|
Object Detection (SP)
|
100% |
26851
2.13 KIPS |
|
|
Object Detection (HP)
|
100% |
34261
2.72 KIPS |
|
|
Object Detection (Q)
|
89% |
21334
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
73870
877.7 IPS |
|
|
Face Detection (HP)
|
100% |
96086
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
58802
701.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
122091
940.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
207198
1.60 KIPS |
|
|
Depth Estimation (Q)
|
76% |
85156
686.4 IPS |
|
|
Style Transfer (SP)
|
100% |
692339
890.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1928452
2.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
587309
757.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85856
3.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
111062
4.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60329
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4764
6.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2844
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
7037
121.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7193
123.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2843
63.4 IPS |
