Puget Systems System Product Name
Geekbench AI Score
6460
Single Precision Score
6468
Half Precision Score
7111
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | streber42 |
| Upload Date | April 06 2026 11:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 3955WX 16-Cores |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Puget Systems System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 3955WX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3581
666.0 IPS |
|
|
Image Classification (HP)
|
100% |
3583
666.3 IPS |
|
|
Image Classification (Q)
|
100% |
4205
781.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4949
80.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4955
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6737
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11369
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11368
13.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
13464
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
3956
313.8 IPS |
|
|
Object Detection (HP)
|
100% |
3967
314.7 IPS |
|
|
Object Detection (Q)
|
87% |
4518
362.4 IPS |
|
|
Face Detection (SP)
|
100% |
8998
106.9 IPS |
|
|
Face Detection (HP)
|
100% |
8961
106.5 IPS |
|
|
Face Detection (Q)
|
97% |
15931
190.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10794
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10834
83.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
13496
106.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31374
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31414
40.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36762
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5813
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6808
252.2 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (Q)
|
91% |
905
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3961
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3982
68.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3942
67.9 IPS |
