LENOVO 82XF
Geekbench AI Score
3851
Single Precision Score
5357
Half Precision Score
8385
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Evropa |
| Upload Date | June 30 2025 12:20 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
2323
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
3836
713.4 IPS |
|
|
Image Classification (Q)
|
99% |
5427
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3645
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5764
93.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6910
112.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7393
8.63 IPS |
|
|
Pose Estimation (HP)
|
99% |
5331
6.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
23837
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2153
170.8 IPS |
|
|
Object Detection (HP)
|
100% |
3222
255.5 IPS |
|
|
Object Detection (Q)
|
90% |
5564
444.9 IPS |
|
|
Face Detection (SP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
9628
114.4 IPS |
|
|
Face Detection (Q)
|
100% |
14335
170.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7972
61.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12490
96.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
17070
132.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19453
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30820
39.6 IPS |
|
|
Style Transfer (Q)
|
98% |
52797
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3257
120.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4966
183.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9964
369.0 IPS |
|
|
Text Classification (SP)
|
71% |
1267
1.83 KIPS |
|
|
Text Classification (HP)
|
71% |
1488
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
1468
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1872
32.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1830
31.5 IPS |
