LENOVO 82XD
Geekbench AI Score
2604
Single Precision Score
1052
Half Precision Score
5123
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | naabdulsalam |
| Upload Date | October 16 2025 12:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82XD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
99% |
4163
776.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5079
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3774
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2589
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
14333
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (HP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (Q)
|
86% |
4472
359.4 IPS |
|
|
Face Detection (SP)
|
100% |
5332
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
5887
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5287
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1525
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10233
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9663
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6346
8.16 IPS |
|
|
Style Transfer (Q)
|
98% |
16509
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
554
739.2 IPS |
|
|
Text Classification (Q)
|
97% |
1031
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2460
49.4 IPS |
