LENOVO 82SB
Geekbench AI Score
2727
Single Precision Score
1302
Half Precision Score
4538
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 11:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7535HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82SB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2311
429.7 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
96% |
3969
741.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
4794
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4171
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3655
4.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
9160
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1928
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
58% |
2419
264.3 IPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
6222
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5286
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1684
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8080
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9999
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9244
11.9 IPS |
|
|
Style Transfer (Q)
|
87% |
13837
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1886
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3520
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1448
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2478
47.9 IPS |
