ASUS System Product Name
Geekbench AI Score
15372
Single Precision Score
15368
Half Precision Score
36905
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 04 2025 05:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | 1usmus Ryzen Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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% |
7308
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7644
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19000
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9963
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10340
167.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28363
459.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32032
37.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32375
37.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
130220
152.5 IPS |
|
|
Object Detection (SP)
|
100% |
8977
712.1 IPS |
|
|
Object Detection (HP)
|
100% |
9019
715.4 IPS |
|
|
Object Detection (Q)
|
88% |
21670
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
20566
244.4 IPS |
|
|
Face Detection (HP)
|
100% |
20749
246.5 IPS |
|
|
Face Detection (Q)
|
100% |
54011
641.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28639
220.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27005
208.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
72331
563.0 IPS |
|
|
Style Transfer (SP)
|
100% |
82805
106.4 IPS |
|
|
Style Transfer (HP)
|
100% |
83717
107.6 IPS |
|
|
Style Transfer (Q)
|
98% |
295298
380.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15242
562.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15313
565.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40566
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5117
6.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4994
6.67 KIPS |
|
|
Text Classification (Q)
|
92% |
6480
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
9256
159.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8876
152.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10164
175.1 IPS |
