Laptop LENOVO P1 LENOVO 20QUS0TQ01
Geekbench AI Score
1649
Single Precision Score
749
Half Precision Score
2071
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | radu103 |
| Upload Date | May 07 2025 01:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E-2276M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | LENOVO 20QUS0TQ01 |
| Motherboard | LENOVO 20QUS0TQ01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E-2276M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.3 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
1092
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
4623
5.47 IPS |
|
|
Object Detection (SP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.1 IPS |
|
|
Object Detection (Q)
|
58% |
1251
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
2410
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (Q)
|
96% |
3417
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2907
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
4586
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6553
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
4769
6.13 IPS |
|
|
Style Transfer (Q)
|
87% |
8771
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1625
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
536
715.3 IPS |
|
|
Text Classification (Q)
|
97% |
336
449.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
68% |
1514
29.3 IPS |
