LENOVO 82XM
Geekbench AI Score
2839
Single Precision Score
2832
Half Precision Score
4626
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 10:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U with Radeon Graphics |
| 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% |
1795
333.8 IPS |
|
|
Image Classification (HP)
|
100% |
1782
331.4 IPS |
|
|
Image Classification (Q)
|
100% |
3391
630.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3158
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3513
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3571
4.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
7825
9.18 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (Q)
|
87% |
3447
276.5 IPS |
|
|
Face Detection (SP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2783
33.1 IPS |
|
|
Face Detection (Q)
|
97% |
9553
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4690
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4953
38.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
6910
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10176
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10568
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24705
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2122
78.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5123
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
2078
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (Q)
|
91% |
800
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2648
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2634
45.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2326
40.1 IPS |
