ASUS System Product Name
Geekbench AI Score
15688
Single Precision Score
15717
Half Precision Score
37772
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 03 2025 11:01 AM |
| 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% |
7589
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7891
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
19307
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10818
175.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10819
175.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31236
506.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33701
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33359
38.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
133538
156.3 IPS |
|
|
Object Detection (SP)
|
100% |
9088
720.8 IPS |
|
|
Object Detection (HP)
|
100% |
9665
766.6 IPS |
|
|
Object Detection (Q)
|
88% |
21428
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
20524
243.9 IPS |
|
|
Face Detection (HP)
|
100% |
18892
224.5 IPS |
|
|
Face Detection (Q)
|
100% |
58499
695.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27394
211.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27981
215.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
75969
591.3 IPS |
|
|
Style Transfer (SP)
|
100% |
87180
112.1 IPS |
|
|
Style Transfer (HP)
|
100% |
86013
110.6 IPS |
|
|
Style Transfer (Q)
|
98% |
304011
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15758
581.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15652
578.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41784
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5147
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (Q)
|
92% |
5996
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
9039
155.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9089
156.6 IPS |
|
|
Machine Translation (Q)
|
100% |
10123
174.4 IPS |
