LENOVO 82XV
Geekbench AI Score
3263
Single Precision Score
1380
Half Precision Score
6005
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Forgivigyou11 |
| Upload Date | June 20 2025 07:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82XV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2529
470.2 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.4 IPS |
|
|
Image Classification (Q)
|
99% |
5504
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3031
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4734
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3356
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
17177
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
5380
432.4 IPS |
|
|
Face Detection (SP)
|
100% |
5730
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
8082
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6339
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1851
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12421
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11443
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7947
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18181
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2274
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4271
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
1631
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1643
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3092
62.1 IPS |
