ASUS System Product Name
Geekbench AI Score
16321
Single Precision Score
16353
Half Precision Score
38088
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Gorod |
| Upload Date | January 04 2026 07:10 PM |
| Views | 3 |
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 X870E APEX |
| Power Plan | Ultimate Performance |
| 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% |
8577
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
8505
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
20590
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10714
173.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11152
180.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29356
475.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
36629
42.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36828
43.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
138843
162.5 IPS |
|
|
Object Detection (SP)
|
100% |
9473
751.4 IPS |
|
|
Object Detection (HP)
|
100% |
9122
723.6 IPS |
|
|
Object Detection (Q)
|
88% |
21358
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
21203
251.9 IPS |
|
|
Face Detection (HP)
|
100% |
19916
236.6 IPS |
|
|
Face Detection (Q)
|
100% |
59013
701.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28907
222.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28908
222.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
74881
582.7 IPS |
|
|
Style Transfer (SP)
|
100% |
88598
113.9 IPS |
|
|
Style Transfer (HP)
|
100% |
89568
115.1 IPS |
|
|
Style Transfer (Q)
|
98% |
322025
415.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16270
600.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16557
611.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42670
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5156
6.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5320
7.10 KIPS |
|
|
Text Classification (Q)
|
92% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
9237
159.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9452
162.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9620
165.7 IPS |
