ASUS System Product Name
Geekbench AI Score
42415
Single Precision Score
61339
Half Precision Score
31373
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | darki73 |
| Upload Date | May 28 2025 01:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Ultimate 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16294
3.03 KIPS |
|
|
Image Classification (HP)
|
100% |
20313
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
13418
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25958
420.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
31105
504.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25538
415.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
387704
452.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
860531
1.00 KIPS |
|
|
Pose Estimation (Q)
|
94% |
316033
370.7 IPS |
|
|
Object Detection (SP)
|
100% |
22068
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
27643
2.19 KIPS |
|
|
Object Detection (Q)
|
89% |
17704
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
59850
711.1 IPS |
|
|
Face Detection (HP)
|
100% |
77229
917.6 IPS |
|
|
Face Detection (Q)
|
97% |
48323
576.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
102411
789.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
179647
1.38 KIPS |
|
|
Depth Estimation (Q)
|
76% |
72271
582.5 IPS |
|
|
Style Transfer (SP)
|
100% |
577359
742.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1584057
2.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
489684
631.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69159
2.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88842
3.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50304
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4633
6.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2339
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5513
95.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5546
95.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2395
53.4 IPS |
