LENOVO 20NJ0005US
Geekbench AI Score
553
Single Precision Score
348
Half Precision Score
617
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | kksrs |
| Upload Date | March 12 2026 09:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 3700U |
| 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% |
403
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (Q)
|
96% |
537
100.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
514
8.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
770
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
753
0.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
823
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
58% |
289
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (Q)
|
96% |
1127
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
861
6.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
488
3.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
1049
8.37 IPS |
|
|
Style Transfer (SP)
|
100% |
1747
2.25 IPS |
|
|
Style Transfer (HP)
|
100% |
1473
1.89 IPS |
|
|
Style Transfer (Q)
|
87% |
2234
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
487
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
307
409.2 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.4 IPS |
|
|
Text Classification (Q)
|
97% |
155
208.1 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (Q)
|
68% |
612
11.8 IPS |
