ASUS System Product Name
Geekbench AI Score
9053
Single Precision Score
3099
Half Precision Score
14420
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | wisetm |
| Upload Date | February 05 2026 08:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7948
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
1111
206.6 IPS |
|
|
Image Classification (Q)
|
99% |
13754
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16920
275.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13842
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9609
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
50103
58.7 IPS |
|
|
Object Detection (SP)
|
100% |
7969
632.1 IPS |
|
|
Object Detection (HP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (Q)
|
86% |
14668
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
20364
242.0 IPS |
|
|
Face Detection (HP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (Q)
|
97% |
15734
187.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20688
159.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3873
29.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
36760
293.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35197
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24955
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
41920
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6524
241.6 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2542
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5587
96.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5654
113.6 IPS |
