LENOVO 20NYS2XT03
Geekbench AI Score
1538
Single Precision Score
2212
Half Precision Score
2122
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | chuk |
| Upload Date | January 12 2025 03:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 20NYS2XT03 |
| Motherboard | LENOVO 20NYS2XT03 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1023
190.2 IPS |
|
|
Image Classification (HP)
|
100% |
1535
285.5 IPS |
|
|
Image Classification (Q)
|
100% |
1423
264.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1996
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1903
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2574
3.00 IPS |
|
|
Pose Estimation (HP)
|
99% |
2372
2.78 IPS |
|
|
Pose Estimation (Q)
|
97% |
3534
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
964
76.4 IPS |
|
|
Object Detection (HP)
|
99% |
1592
126.7 IPS |
|
|
Object Detection (Q)
|
88% |
1462
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (Q)
|
97% |
3986
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2987
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4983
38.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4464
34.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7121
9.15 IPS |
|
|
Style Transfer (HP)
|
100% |
9481
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8445
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1991
73.7 IPS |
|
|
Text Classification (SP)
|
71% |
531
768.5 IPS |
|
|
Text Classification (HP)
|
71% |
631
912.6 IPS |
|
|
Text Classification (Q)
|
92% |
511
686.0 IPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
97% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
869
15.0 IPS |
