LENOVO 82XM
Geekbench AI Score
1983
Single Precision Score
954
Half Precision Score
3347
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 10:39 AM |
| Views | 6 |
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% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
2865
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2442
2.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
7077
8.37 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (Q)
|
58% |
2134
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
2251
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
5153
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4648
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1383
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6792
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7852
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6220
8.00 IPS |
|
|
Style Transfer (Q)
|
87% |
9342
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2866
106.2 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
658
878.3 IPS |
|
|
Text Classification (Q)
|
97% |
1122
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
68% |
1703
32.9 IPS |
