LENOVO 82XM
Geekbench AI Score
2842
Single Precision Score
2894
Half Precision Score
4839
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 11:02 AM |
| Views | 4 |
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% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
1824
339.1 IPS |
|
|
Image Classification (Q)
|
100% |
2987
555.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3440
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3614
4.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
8566
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
1636
129.8 IPS |
|
|
Object Detection (Q)
|
87% |
3495
280.3 IPS |
|
|
Face Detection (SP)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
9093
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4956
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4902
37.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
9033
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10468
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10903
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24757
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2214
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5196
192.5 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
91% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2711
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2522
43.4 IPS |
