LENOVO 82XD
Geekbench AI Score
2452
Single Precision Score
1017
Half Precision Score
4417
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ykalthubaiti |
| Upload Date | April 11 2025 01:02 PM |
| Views | 13 |
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% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
99% |
4197
782.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2513
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3874
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2536
2.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
13093
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1836
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (Q)
|
86% |
3939
316.6 IPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
6033
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5092
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9157
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8914
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6165
7.93 IPS |
|
|
Style Transfer (Q)
|
98% |
11031
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2707
100.2 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
562
749.6 IPS |
|
|
Text Classification (Q)
|
97% |
1334
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (Q)
|
65% |
2362
47.5 IPS |
