LENOVO Ideapad 5 pro with ryzen 7 5800h LENOVO 82L5
Geekbench AI Score
8610
Single Precision Score
15335
Half Precision Score
6179
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paz_levi |
| Upload Date | August 22 2025 07:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82L5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3849
715.8 IPS |
|
|
Image Classification (HP)
|
99% |
6699
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
3120
581.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5334
86.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8371
135.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4409
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34516
40.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
104276
121.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29588
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
4417
350.4 IPS |
|
|
Object Detection (HP)
|
100% |
8200
650.4 IPS |
|
|
Object Detection (Q)
|
84% |
3620
292.0 IPS |
|
|
Face Detection (SP)
|
100% |
9395
111.6 IPS |
|
|
Face Detection (HP)
|
100% |
15672
186.2 IPS |
|
|
Face Detection (Q)
|
97% |
7716
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21105
162.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43307
333.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
15535
124.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59180
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
162894
209.4 IPS |
|
|
Style Transfer (Q)
|
98% |
49331
63.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12246
452.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21864
807.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8001
296.3 IPS |
|
|
Text Classification (SP)
|
100% |
1999
2.67 KIPS |
|
|
Text Classification (HP)
|
99% |
2403
3.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1054
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2583
44.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1105
20.7 IPS |
