LENOVO 82JW
Geekbench AI Score
6067
Single Precision Score
4808
Half Precision Score
4440
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82JW |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2446
454.9 IPS |
|
|
Image Classification (HP)
|
100% |
2292
426.2 IPS |
|
|
Image Classification (Q)
|
100% |
2012
374.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3865
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3211
52.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3386
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25226
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16151
18.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
22130
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2784
220.8 IPS |
|
|
Object Detection (HP)
|
100% |
2661
211.0 IPS |
|
|
Object Detection (Q)
|
89% |
2222
177.9 IPS |
|
|
Face Detection (SP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
5171
61.4 IPS |
|
|
Face Detection (Q)
|
97% |
5014
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14055
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10822
83.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
10443
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45060
57.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30426
39.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38545
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9409
347.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6270
232.2 IPS |
|
|
Text Classification (SP)
|
100% |
1570
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
902
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1834
31.7 IPS |
|
|
Machine Translation (Q)
|
60% |
780
17.4 IPS |
