LENOVO 82XM
Geekbench AI Score
2747
Single Precision Score
3868
Half Precision Score
2109
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 10:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) 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% |
1003
186.6 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (Q)
|
100% |
955
177.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1085
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10414
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19325
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
8765
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1191
94.5 IPS |
|
|
Object Detection (HP)
|
100% |
1631
129.3 IPS |
|
|
Object Detection (Q)
|
88% |
1072
85.9 IPS |
|
|
Face Detection (SP)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3427
40.7 IPS |
|
|
Face Detection (Q)
|
97% |
1949
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6464
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9478
73.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5007
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19412
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31705
40.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15318
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6022
222.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2647
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
635
850.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1529
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (Q)
|
70% |
712
13.3 IPS |
