LENOVO 30E0CTO1WW
Geekbench AI Score
3550
Single Precision Score
2576
Half Precision Score
2675
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA T400 4GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30E0CTO1WW |
| Motherboard | LENOVO 1046 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5995WX |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1455
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
1232
229.2 IPS |
|
|
Image Classification (Q)
|
99% |
1334
248.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2010
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10181
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6160
7.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
9148
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.3 IPS |
|
|
Object Detection (HP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (Q)
|
83% |
1506
121.6 IPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
3192
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7104
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4791
36.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5776
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17890
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12057
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15884
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4218
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3333
123.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3087
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.3 IPS |
|
|
Text Classification (Q)
|
97% |
667
893.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2170
37.5 IPS |
|
|
Machine Translation (Q)
|
70% |
844
15.8 IPS |
