LENOVO 82XF
Geekbench AI Score
2414
Single Precision Score
2479
Half Precision Score
1599
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Evropa |
| Upload Date | June 30 2025 12:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 82XF |
| 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% |
1076
200.1 IPS |
|
|
Image Classification (HP)
|
100% |
1117
207.7 IPS |
|
|
Image Classification (Q)
|
100% |
941
175.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1182
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7050
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
8928
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
4365
5.11 IPS |
|
|
Object Detection (SP)
|
100% |
1190
94.4 IPS |
|
|
Object Detection (HP)
|
98% |
1056
84.0 IPS |
|
|
Object Detection (Q)
|
86% |
1005
80.8 IPS |
|
|
Face Detection (SP)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
2802
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
1840
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4811
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5406
41.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3465
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19079
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25185
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
12935
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3814
140.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1286
47.6 IPS |
|
|
Text Classification (SP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
364
485.3 IPS |
|
|
Text Classification (Q)
|
97% |
470
630.1 IPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
70% |
451
8.47 IPS |
