LENOVO 30E1S66206
Geekbench AI Score
1460
Single Precision Score
1482
Half Precision Score
1267
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | kb9fcc |
| Upload Date | March 07 2026 09:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 3995WX |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | LENOVO 30E1S66206 |
| Motherboard | LENOVO 1046 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 3995WX |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 4.31 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1100
204.6 IPS |
|
|
Image Classification (HP)
|
100% |
1056
196.4 IPS |
|
|
Image Classification (Q)
|
99% |
825
153.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1074
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2691
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2686
3.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
4996
5.85 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
85% |
955
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
1316
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1562
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1573
12.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1550
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3092
3.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3202
4.12 IPS |
|
|
Style Transfer (Q)
|
98% |
5955
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1586
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.5 IPS |
|
|
Text Classification (HP)
|
100% |
575
767.9 IPS |
|
|
Text Classification (Q)
|
92% |
261
350.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2037
35.1 IPS |
|
|
Machine Translation (Q)
|
58% |
502
11.8 IPS |
