LENOVO 30E1S66206
Geekbench AI Score
2786
Single Precision Score
589
Half Precision Score
4594
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | kb9fcc |
| Upload Date | March 07 2026 10:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1058
196.8 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.4 IPS |
|
|
Image Classification (Q)
|
94% |
3456
645.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
2433
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23226
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5450
6.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
21372
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
58% |
3478
380.1 IPS |
|
|
Face Detection (SP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
269
3.20 IPS |
|
|
Face Detection (Q)
|
96% |
10157
121.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7416
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
852
6.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
10938
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25563
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14420
18.5 IPS |
|
|
Style Transfer (Q)
|
87% |
26233
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1472
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
257
343.5 IPS |
|
|
Text Classification (Q)
|
97% |
764
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (Q)
|
68% |
2045
39.5 IPS |
