LENOVO 82XD
Geekbench AI Score
2254
Single Precision Score
2396
Half Precision Score
1532
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | S096 |
| Upload Date | October 20 2025 01:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82XD |
| 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% |
1031
191.7 IPS |
|
|
Image Classification (HP)
|
100% |
1082
201.2 IPS |
|
|
Image Classification (Q)
|
100% |
888
165.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1163
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7043
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
8855
10.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
4410
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (HP)
|
98% |
1042
82.9 IPS |
|
|
Object Detection (Q)
|
86% |
989
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
1779
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4731
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5228
40.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3396
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18466
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24388
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
12515
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2631
97.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1252
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.1 IPS |
|
|
Text Classification (HP)
|
100% |
324
432.8 IPS |
|
|
Text Classification (Q)
|
97% |
400
535.5 IPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
70% |
418
7.84 IPS |
