LENOVO 30E00097US
Geekbench AI Score
2878
Single Precision Score
940
Half Precision Score
3631
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 10:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 3975WX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30E00097US |
| Motherboard | LENOVO 1046 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 3975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2627
488.5 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (Q)
|
96% |
2863
534.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
5100
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11461
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4656
5.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
10899
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
58% |
2412
263.6 IPS |
|
|
Face Detection (SP)
|
100% |
5692
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
812
9.64 IPS |
|
|
Face Detection (Q)
|
96% |
6316
75.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8474
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1449
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8096
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18572
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10773
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
17266
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1220
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1786
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.7 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.3 IPS |
|
|
Text Classification (Q)
|
97% |
441
591.3 IPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.16 IPS |
|
|
Machine Translation (Q)
|
68% |
1496
28.9 IPS |
