ASUS System Product Name
Geekbench AI Score
8669
Single Precision Score
2991
Half Precision Score
14378
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Kindachi |
| Upload Date | May 25 2025 06:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Balanced |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5400
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
928
172.6 IPS |
|
|
Image Classification (Q)
|
99% |
13633
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3473
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1471
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5649
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
30654
35.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17692
20.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
92339
108.3 IPS |
|
|
Object Detection (SP)
|
100% |
6201
491.9 IPS |
|
|
Object Detection (HP)
|
100% |
1160
92.0 IPS |
|
|
Object Detection (Q)
|
86% |
16622
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
11043
131.2 IPS |
|
|
Face Detection (HP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
17074
203.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20850
160.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4430
34.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
32694
260.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51450
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41573
53.4 IPS |
|
|
Style Transfer (Q)
|
98% |
58856
75.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5220
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6807
252.1 IPS |
|
|
Text Classification (SP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1994
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
7167
144.0 IPS |
