Ryzen 9 9550X3D ASUS X870e ProArt 96GB ASUS System Product Name
Geekbench AI Score
7821
Single Precision Score
7518
Half Precision Score
19217
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Mommel |
| Upload Date | March 29 2025 01:15 AM |
| Views | 12 |
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. 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% |
5245
975.5 IPS |
|
|
Image Classification (HP)
|
100% |
4354
809.7 IPS |
|
|
Image Classification (Q)
|
100% |
12885
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5180
84.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4716
76.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12169
197.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9836
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9868
11.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
30347
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
3903
309.6 IPS |
|
|
Object Detection (HP)
|
100% |
4014
318.4 IPS |
|
|
Object Detection (Q)
|
88% |
10880
872.2 IPS |
|
|
Face Detection (SP)
|
100% |
10657
126.6 IPS |
|
|
Face Detection (HP)
|
100% |
10261
121.9 IPS |
|
|
Face Detection (Q)
|
100% |
28457
338.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10727
82.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12500
96.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
33610
261.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27978
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26990
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
98957
127.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13129
484.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11066
408.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34219
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5950
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5357
92.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6886
118.6 IPS |
