LENOVO 82XV
Geekbench AI Score
3598
Single Precision Score
1513
Half Precision Score
5904
Quantized Score
Geekbench AI 1.4.0 Corporate for Windows AVX2
Result Information
| Upload Date | July 15 2025 11:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (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% |
2828
525.8 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.7 IPS |
|
|
Image Classification (Q)
|
99% |
6039
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5059
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5032
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3507
4.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
18191
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
86% |
5304
426.3 IPS |
|
|
Face Detection (SP)
|
100% |
6976
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
8658
103.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6889
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1982
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12999
103.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12161
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8572
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20418
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2390
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5689
210.7 IPS |
|
|
Text Classification (SP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
460
615.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2905
58.4 IPS |
