Laptop LENOVO P1 LENOVO 20QUS0TQ01
Geekbench AI Score
994
Single Precision Score
1153
Half Precision Score
816
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | radu103 |
| Upload Date | May 07 2025 01:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
413
76.8 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
100% |
426
79.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
529
8.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3788
4.42 IPS |
|
|
Pose Estimation (Q)
|
97% |
2192
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
98% |
510
40.6 IPS |
|
|
Object Detection (Q)
|
86% |
462
37.2 IPS |
|
|
Face Detection (SP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
870
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1793
13.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2223
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1551
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6118
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
9053
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
5315
6.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
956
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
477
637.0 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.2 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.2 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.69 IPS |
|
|
Machine Translation (Q)
|
70% |
289
5.42 IPS |
