LENOVO 20NE0001CA
Geekbench AI Score
521
Single Precision Score
320
Half Precision Score
722
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20NE0001CA |
| Motherboard | LENOVO 20NE0001CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
145
26.9 IPS |
|
|
Image Classification (Q)
|
96% |
472
88.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
656
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
816
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
58% |
354
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
784
9.32 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (Q)
|
96% |
1381
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
814
6.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
481
3.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
1414
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1521
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1424
1.83 IPS |
|
|
Style Transfer (Q)
|
87% |
1868
2.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
413
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
270
9.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
526
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
416
555.0 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.6 IPS |
|
|
Text Classification (Q)
|
97% |
376
504.2 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (Q)
|
68% |
600
11.6 IPS |
