LENOVO 30E1S66206
Geekbench AI Score
9663
Single Precision Score
9671
Half Precision Score
13031
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | kb9fcc |
| Upload Date | March 07 2026 10:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 3995WX 64-Cores |
| 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% |
4078
758.3 IPS |
|
|
Image Classification (HP)
|
100% |
4041
751.5 IPS |
|
|
Image Classification (Q)
|
100% |
6712
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9660
156.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9715
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17057
277.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25762
30.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25644
29.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
41030
48.1 IPS |
|
|
Object Detection (SP)
|
100% |
5061
401.5 IPS |
|
|
Object Detection (HP)
|
100% |
5142
407.9 IPS |
|
|
Object Detection (Q)
|
87% |
8096
649.3 IPS |
|
|
Face Detection (SP)
|
100% |
13907
165.2 IPS |
|
|
Face Detection (HP)
|
100% |
14108
167.6 IPS |
|
|
Face Detection (Q)
|
97% |
29108
347.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18858
145.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19394
149.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
29307
231.1 IPS |
|
|
Style Transfer (SP)
|
100% |
73480
94.5 IPS |
|
|
Style Transfer (HP)
|
100% |
73295
94.2 IPS |
|
|
Style Transfer (Q)
|
98% |
110788
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10846
400.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10777
397.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16093
596.1 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (Q)
|
91% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3196
55.0 IPS |
