LENOVO 82XF
Geekbench AI Score
4324
Single Precision Score
3750
Half Precision Score
9996
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Evropa |
| Upload Date | June 30 2025 12:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13620H |
| 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% |
2885
536.5 IPS |
|
|
Image Classification (HP)
|
100% |
2896
538.7 IPS |
|
|
Image Classification (Q)
|
100% |
6757
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3611
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6536
106.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5221
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4881
5.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
17193
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2502
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (Q)
|
88% |
6399
512.9 IPS |
|
|
Face Detection (SP)
|
100% |
6756
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
6944
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
14766
175.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6447
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3702
28.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16482
128.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14410
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14322
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
49164
63.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2575
95.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10491
388.5 IPS |
|
|
Text Classification (SP)
|
100% |
2595
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
4345
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4012
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3761
64.8 IPS |
