ASUS System Product Name
Geekbench AI Score
15272
Single Precision Score
15590
Half Precision Score
38130
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 04 2025 06:49 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% |
7446
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
8188
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
20166
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10213
165.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10223
165.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29424
477.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32955
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33111
38.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
133116
155.8 IPS |
|
|
Object Detection (SP)
|
100% |
9265
734.9 IPS |
|
|
Object Detection (HP)
|
100% |
9630
763.9 IPS |
|
|
Object Detection (Q)
|
88% |
21731
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
17789
211.4 IPS |
|
|
Face Detection (HP)
|
100% |
18205
216.3 IPS |
|
|
Face Detection (Q)
|
100% |
55413
658.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26589
204.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26919
207.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
76211
593.2 IPS |
|
|
Style Transfer (SP)
|
100% |
85712
110.2 IPS |
|
|
Style Transfer (HP)
|
100% |
85790
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
305961
394.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15421
569.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15782
582.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41221
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5280
7.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5284
7.05 KIPS |
|
|
Text Classification (Q)
|
92% |
6642
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
9008
155.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9068
156.2 IPS |
|
|
Machine Translation (Q)
|
100% |
10699
184.3 IPS |
