LENOVO 20NJ0005US
Geekbench AI Score
1076
Single Precision Score
1075
Half Precision Score
1084
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | kksrs |
| Upload Date | March 12 2026 10:06 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 3700U w/ Radeon Vega Mobile Gfx |
| 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% |
733
136.3 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (Q)
|
100% |
711
132.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (Q)
|
99% |
629
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1318
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
1375
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
608
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
87% |
710
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
2153
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1788
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1669
12.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
1757
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3608
4.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3657
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
3872
4.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
747
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
767
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
91% |
364
489.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1124
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1265
21.8 IPS |
