ASUS System Product Name
Geekbench AI Score
4813
Single Precision Score
1860
Half Precision Score
9888
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Orkeyfy |
| Upload Date | January 06 2026 11:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4301
799.8 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.6 IPS |
|
|
Image Classification (Q)
|
99% |
9567
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11889
193.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8486
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
8648
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
41626
48.8 IPS |
|
|
Object Detection (SP)
|
100% |
3895
308.9 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
9925
797.6 IPS |
|
|
Face Detection (SP)
|
100% |
8150
96.8 IPS |
|
|
Face Detection (HP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
11314
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11227
86.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2860
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
21030
167.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23475
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21574
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33690
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2527
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2245
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
180.1 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1398
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2694
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3492
70.2 IPS |
