Ryzen 9 9550X3D ASUS X870e ProArt 96GB ASUS System Product Name
Geekbench AI Score
6908
Single Precision Score
2380
Half Precision Score
10996
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Mommel |
| Upload Date | March 29 2025 01:13 AM |
| Views | 9 |
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. ProArt X870E-CREATOR WIFI |
| Power Plan | Ausbalanciert |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6759
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
794
147.8 IPS |
|
|
Image Classification (Q)
|
99% |
12339
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2563
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4183
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16776
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10168
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
45398
53.2 IPS |
|
|
Object Detection (SP)
|
100% |
5719
453.7 IPS |
|
|
Object Detection (HP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (Q)
|
86% |
14393
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
10335
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
14463
172.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16948
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2968
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
23774
189.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29744
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29783
38.3 IPS |
|
|
Style Transfer (Q)
|
98% |
49617
64.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3998
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3921
144.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5284
195.7 IPS |
|
|
Text Classification (SP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1975
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3211
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4307
86.5 IPS |
