LENOVO 82XM
Geekbench AI Score
2007
Single Precision Score
991
Half Precision Score
3534
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 10:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82XM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.8 IPS |
|
|
Image Classification (Q)
|
96% |
3158
589.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
3858
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2926
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2435
2.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
6861
8.11 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
58% |
2161
236.1 IPS |
|
|
Face Detection (SP)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
5213
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4319
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1439
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6670
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7499
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
6548
8.42 IPS |
|
|
Style Transfer (Q)
|
87% |
9097
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1174
43.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2913
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
673
897.7 IPS |
|
|
Text Classification (Q)
|
97% |
1103
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
68% |
1658
32.0 IPS |
