LENOVO 82XF
Geekbench AI Score
3284
Single Precision Score
1315
Half Precision Score
5764
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Evropa |
| Upload Date | June 30 2025 12:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2636
490.2 IPS |
|
|
Image Classification (HP)
|
100% |
548
101.9 IPS |
|
|
Image Classification (Q)
|
99% |
5206
971.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3016
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5226
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3293
3.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
15985
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
86% |
5422
435.8 IPS |
|
|
Face Detection (SP)
|
100% |
6105
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
1518
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
8344
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6292
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1756
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11986
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11666
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7921
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17703
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3747
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
695
927.6 IPS |
|
|
Text Classification (Q)
|
97% |
1606
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1836
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2794
56.1 IPS |
