LENOVO 83G0
Geekbench AI Score
5334
Single Precision Score
1656
Half Precision Score
9176
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Searcher73 |
| Upload Date | November 11 2025 09:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83G0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4613
857.9 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (Q)
|
99% |
6812
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12232
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10723
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4580
5.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
33064
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
4178
331.4 IPS |
|
|
Object Detection (HP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (Q)
|
86% |
7661
615.7 IPS |
|
|
Face Detection (SP)
|
100% |
12792
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
11476
136.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11961
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2292
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17950
143.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22232
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11133
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28423
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3573
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6272
232.3 IPS |
|
|
Text Classification (SP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
747
997.2 IPS |
|
|
Text Classification (Q)
|
97% |
1494
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3656
73.5 IPS |
