ASUS System Product Name
Geekbench AI Score
15495
Single Precision Score
15825
Half Precision Score
37653
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | June 22 2025 12:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | AMD Ryzen [Zen4] Balanced LowPower 11-v5 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
7210
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
8026
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
19073
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10056
163.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10418
168.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29899
484.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33321
38.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33776
39.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
132019
154.6 IPS |
|
|
Object Detection (SP)
|
100% |
9501
753.6 IPS |
|
|
Object Detection (HP)
|
100% |
8844
701.5 IPS |
|
|
Object Detection (Q)
|
88% |
22040
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
19487
231.5 IPS |
|
|
Face Detection (HP)
|
100% |
22193
263.7 IPS |
|
|
Face Detection (Q)
|
100% |
56094
666.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27358
210.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27097
208.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
78025
607.3 IPS |
|
|
Style Transfer (SP)
|
100% |
86767
111.5 IPS |
|
|
Style Transfer (HP)
|
100% |
84741
108.9 IPS |
|
|
Style Transfer (Q)
|
98% |
308051
397.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15809
583.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15937
588.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41685
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5147
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5060
6.75 KIPS |
|
|
Text Classification (Q)
|
92% |
6052
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
9236
159.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9599
165.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10151
174.9 IPS |
