LENOVO P340 30DF001NUS LENOVO 30DF001NUS
Geekbench AI Score
1923
Single Precision Score
823
Half Precision Score
2800
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ahoffman |
| Upload Date | November 22 2025 09:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30DF001NUS |
| Motherboard | LENOVO 3172 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900T |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1465
272.5 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.7 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
2960
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3382
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2711
3.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
6103
7.22 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
58% |
1833
200.3 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (Q)
|
96% |
3948
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3886
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1105
8.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
5497
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7620
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
5908
7.59 IPS |
|
|
Style Transfer (Q)
|
87% |
9086
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1292
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2160
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
451
601.7 IPS |
|
|
Text Classification (Q)
|
97% |
634
849.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
68% |
1459
28.2 IPS |
