Puget Systems Puget Workstation Threadripper PRO WRX90 T140-XL
Geekbench AI Score
1360
Single Precision Score
1403
Half Precision Score
1656
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | shared |
| Upload Date | March 06 2025 06:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 7965WX 24-Cores |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Puget Systems Puget Workstation Threadripper PRO WRX90 T140-XL |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7965WX 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 5.36 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
894
166.3 IPS |
|
|
Image Classification (HP)
|
100% |
915
170.2 IPS |
|
|
Image Classification (Q)
|
99% |
1486
277.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1440
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2346
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2382
2.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
3839
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
1041
82.6 IPS |
|
|
Object Detection (HP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (Q)
|
85% |
1727
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1199
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
2289
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1274
9.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
1360
10.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1687
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2690
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
2937
3.77 IPS |
|
|
Style Transfer (Q)
|
98% |
4837
6.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1307
48.4 IPS |
|
|
Text Classification (SP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
667
895.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2365
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (Q)
|
58% |
672
15.8 IPS |
