LENOVO 83D6
Geekbench AI Score
3796
Single Precision Score
1547
Half Precision Score
6890
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 01:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83D6 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3038
565.0 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
99% |
5701
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8503
138.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5911
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3834
4.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
18679
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2760
219.0 IPS |
|
|
Object Detection (HP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (Q)
|
86% |
5746
461.8 IPS |
|
|
Face Detection (SP)
|
100% |
7803
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
8871
105.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7733
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2203
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13943
111.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13949
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8789
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17922
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2527
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1890
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4696
173.9 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1509
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2953
59.3 IPS |
