LENOVO 20V3
Geekbench AI Score
3934
Single Precision Score
4197
Half Precision Score
3223
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 20V3 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10870H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1884
350.4 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.8 IPS |
|
|
Image Classification (Q)
|
99% |
1675
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2359
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11944
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12485
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11216
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (Q)
|
83% |
2010
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (Q)
|
97% |
4110
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9308
71.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7280
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23446
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25153
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21238
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5359
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5694
210.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4235
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
647
866.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1495
25.8 IPS |
|
|
Machine Translation (Q)
|
70% |
782
14.7 IPS |
