LENOVO 20QV000DUS
Geekbench AI Score
4999
Single Precision Score
4417
Half Precision Score
3610
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | KenTang |
| Upload Date | November 10 2024 09:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20QV000DUS |
| Motherboard | LENOVO 20QV000DUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2451
455.9 IPS |
|
|
Image Classification (HP)
|
100% |
2688
499.9 IPS |
|
|
Image Classification (Q)
|
100% |
1935
359.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3034
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3544
57.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2589
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20866
24.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13797
16.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
17523
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
2805
222.5 IPS |
|
|
Object Detection (Q)
|
89% |
1797
143.9 IPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
4976
59.1 IPS |
|
|
Face Detection (Q)
|
97% |
3705
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11129
85.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10805
83.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
8732
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41771
53.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29268
37.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33301
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6853
253.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6630
244.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4576
169.4 IPS |
|
|
Text Classification (SP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
403
537.7 IPS |
|
|
Text Classification (Q)
|
97% |
741
992.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1826
31.5 IPS |
|
|
Machine Translation (Q)
|
60% |
654
14.6 IPS |
