ASUS System Product Name
Geekbench AI Score
15729
Single Precision Score
15522
Half Precision Score
36932
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 08 2025 06:37 PM |
| Views | 4 |
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% |
8052
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
7619
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
18768
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10254
166.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10126
164.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28159
456.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33667
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33688
39.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
132537
155.2 IPS |
|
|
Object Detection (SP)
|
100% |
9251
733.8 IPS |
|
|
Object Detection (HP)
|
100% |
9305
738.1 IPS |
|
|
Object Detection (Q)
|
88% |
22239
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
19815
235.4 IPS |
|
|
Face Detection (HP)
|
100% |
19968
237.3 IPS |
|
|
Face Detection (Q)
|
100% |
54892
652.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27542
212.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27087
208.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
75308
586.1 IPS |
|
|
Style Transfer (SP)
|
100% |
85939
110.5 IPS |
|
|
Style Transfer (HP)
|
100% |
86278
110.9 IPS |
|
|
Style Transfer (Q)
|
98% |
303110
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15383
568.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15280
564.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40632
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5379
7.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6053
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
9291
160.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9115
157.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9835
169.4 IPS |
