ASUS System Product Name
Geekbench AI Score
15572
Single Precision Score
15849
Half Precision Score
37484
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 08 2025 06:34 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% |
7453
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7879
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
19110
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10139
164.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10642
172.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29505
478.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
33736
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33452
39.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
133107
155.8 IPS |
|
|
Object Detection (SP)
|
100% |
9092
721.2 IPS |
|
|
Object Detection (HP)
|
100% |
9395
745.2 IPS |
|
|
Object Detection (Q)
|
88% |
22749
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
21346
253.6 IPS |
|
|
Face Detection (HP)
|
100% |
21104
250.8 IPS |
|
|
Face Detection (Q)
|
100% |
56824
675.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27718
213.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
28203
217.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
74796
582.1 IPS |
|
|
Style Transfer (SP)
|
100% |
85667
110.1 IPS |
|
|
Style Transfer (HP)
|
100% |
84556
108.7 IPS |
|
|
Style Transfer (Q)
|
98% |
303244
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15339
566.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15488
571.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41301
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5129
6.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5317
7.10 KIPS |
|
|
Text Classification (Q)
|
92% |
6182
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
9073
156.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9159
157.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9749
167.9 IPS |
