Puget Systems AMD Threadripper PRO WRX80 EATX
Geekbench AI Score
2063
Single Precision Score
2079
Half Precision Score
1820
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | streber42 |
| Upload Date | April 06 2026 09:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 5975WX |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Puget Systems AMD Threadripper PRO WRX80 EATX |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Base Frequency | 4.56 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
1398
259.9 IPS |
|
|
Image Classification (Q)
|
99% |
1497
279.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2526
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1216
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3272
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
4768
5.59 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
1616
128.1 IPS |
|
|
Object Detection (Q)
|
85% |
1564
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2187
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
2630
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2138
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2148
16.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2031
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3822
4.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3837
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
6713
8.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1174
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1909
70.7 IPS |
|
|
Text Classification (SP)
|
100% |
1240
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
666
895.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2848
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2987
51.5 IPS |
|
|
Machine Translation (Q)
|
58% |
647
15.2 IPS |
