LENOVO 83LY
Geekbench AI Score
21182
Single Precision Score
38995
Half Precision Score
16255
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83LY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8333
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
16200
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7442
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15781
255.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23919
387.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14528
236.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
114302
133.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
346407
404.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
98123
114.9 IPS |
|
|
Object Detection (SP)
|
100% |
10603
841.0 IPS |
|
|
Object Detection (HP)
|
100% |
19101
1.52 KIPS |
|
|
Object Detection (Q)
|
83% |
9066
732.5 IPS |
|
|
Face Detection (SP)
|
100% |
26680
317.0 IPS |
|
|
Face Detection (HP)
|
100% |
43732
519.6 IPS |
|
|
Face Detection (Q)
|
97% |
23893
284.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
52363
403.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
102156
787.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
42173
336.6 IPS |
|
|
Style Transfer (SP)
|
100% |
164632
211.6 IPS |
|
|
Style Transfer (HP)
|
100% |
550893
708.2 IPS |
|
|
Style Transfer (Q)
|
98% |
141899
183.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30747
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58226
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23445
868.1 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4172
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2228
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4657
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1793
33.6 IPS |
