LENOVO 83LY
Geekbench AI Score
3448
Single Precision Score
1145
Half Precision Score
6174
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | NubbyChan |
| Upload Date | September 18 2025 06:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83LY |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2705
503.1 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
99% |
4586
855.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8293
134.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3217
3.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
20635
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2602
206.4 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
86% |
4758
382.4 IPS |
|
|
Face Detection (SP)
|
100% |
8097
96.2 IPS |
|
|
Face Detection (HP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
7798
93.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7606
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1533
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12296
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15502
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7909
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19592
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2405
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4190
155.1 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.8 IPS |
|
|
Text Classification (Q)
|
97% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2471
49.7 IPS |
