LENOVO 83HV
Geekbench AI Score
2896
Single Precision Score
1386
Half Precision Score
6934
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2026 10:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2223
413.4 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
99% |
7154
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8092
131.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4190
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3670
4.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
18091
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (Q)
|
86% |
5899
474.1 IPS |
|
|
Face Detection (SP)
|
100% |
4733
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
1360
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
8705
103.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5377
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1793
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6787
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9940
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8759
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21561
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6193
229.3 IPS |
|
|
Text Classification (SP)
|
100% |
2144
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1750
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2054
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3016
60.6 IPS |
