LENOVO 83G0
Geekbench AI Score
3527
Single Precision Score
1079
Half Precision Score
5815
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 09:48 PM |
| Views | 1 |
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 | Balanced |
| 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% |
2823
525.0 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.2 IPS |
|
|
Image Classification (Q)
|
99% |
4467
833.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
8036
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7650
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3381
3.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
22142
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2870
227.7 IPS |
|
|
Object Detection (HP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (Q)
|
86% |
4715
378.9 IPS |
|
|
Face Detection (SP)
|
100% |
8957
106.4 IPS |
|
|
Face Detection (HP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
7002
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8522
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11922
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16706
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8262
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20212
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2420
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1429
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3727
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
484
645.7 IPS |
|
|
Text Classification (Q)
|
97% |
883
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2126
42.7 IPS |
