LENOVO 20NJ0005US
Geekbench AI Score
2004
Single Precision Score
2633
Half Precision Score
1492
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | kksrs |
| Upload Date | March 12 2026 10:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 10 Graphics |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 20NJ0005US |
| Motherboard | LENOVO 20NJ0005US |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 3700U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
810
150.7 IPS |
|
|
Image Classification (HP)
|
100% |
953
177.2 IPS |
|
|
Image Classification (Q)
|
100% |
668
124.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
849
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8345
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
15658
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
6925
8.11 IPS |
|
|
Object Detection (SP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (HP)
|
100% |
1081
85.7 IPS |
|
|
Object Detection (Q)
|
88% |
844
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
2134
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
1769
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4327
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6207
47.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3324
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13721
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20546
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
10325
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2618
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1848
68.4 IPS |
|
|
Text Classification (SP)
|
100% |
552
737.0 IPS |
|
|
Text Classification (HP)
|
100% |
569
760.1 IPS |
|
|
Text Classification (Q)
|
97% |
359
481.3 IPS |
|
|
Machine Translation (SP)
|
100% |
949
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
70% |
411
7.72 IPS |
