Laptop LENOVO P1 LENOVO 20QUS0TQ01
Geekbench AI Score
1725
Single Precision Score
2484
Half Precision Score
2375
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | radu103 |
| Upload Date | May 07 2025 01:54 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1056
196.4 IPS |
|
|
Image Classification (HP)
|
100% |
1626
302.3 IPS |
|
|
Image Classification (Q)
|
100% |
1503
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2136
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2730
3.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
2512
2.94 IPS |
|
|
Pose Estimation (Q)
|
97% |
3730
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
1038
82.3 IPS |
|
|
Object Detection (HP)
|
99% |
1700
135.2 IPS |
|
|
Object Detection (Q)
|
88% |
1568
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5014
59.6 IPS |
|
|
Face Detection (Q)
|
97% |
4571
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3182
24.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5362
41.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4897
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7592
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
10249
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9195
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1326
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2287
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2204
81.6 IPS |
|
|
Text Classification (SP)
|
71% |
711
1.03 KIPS |
|
|
Text Classification (HP)
|
71% |
814
1.18 KIPS |
|
|
Text Classification (Q)
|
92% |
627
842.2 IPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
97% |
1082
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1072
18.5 IPS |
