BIOSTAR Group X670E VALKYRIE
Geekbench AI Score
44276
Single Precision Score
61742
Half Precision Score
32752
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 07:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | BIOSTAR Group X670E VALKYRIE |
| Motherboard | BIOSTAR Group X670E VALKYRIE |
| Power Plan | Performances leves |
| 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% |
15272
2.84 KIPS |
|
|
Image Classification (HP)
|
99% |
20434
3.81 KIPS |
|
|
Image Classification (Q)
|
100% |
12839
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29820
483.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
39169
635.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
27186
442.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
347164
405.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
630709
735.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
290757
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
22933
1.82 KIPS |
|
|
Object Detection (HP)
|
100% |
30706
2.44 KIPS |
|
|
Object Detection (Q)
|
86% |
18704
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
72015
855.7 IPS |
|
|
Face Detection (HP)
|
100% |
95006
1.13 KIPS |
|
|
Face Detection (Q)
|
97% |
58419
696.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
110355
850.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
177497
1.37 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78741
629.8 IPS |
|
|
Style Transfer (SP)
|
100% |
629057
808.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1222189
1.57 KIPS |
|
|
Style Transfer (Q)
|
98% |
532757
687.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66700
2.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90493
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48986
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4261
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2170
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6730
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6536
112.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2873
53.9 IPS |
