LENOVO 83LY
Geekbench AI Score
21290
Single Precision Score
39313
Half Precision Score
16513
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 02:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83LY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8286
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
15100
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
7577
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16221
263.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23866
386.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14977
243.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
116263
135.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
375520
438.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
105944
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
10544
836.3 IPS |
|
|
Object Detection (HP)
|
100% |
18787
1.49 KIPS |
|
|
Object Detection (Q)
|
83% |
9335
754.2 IPS |
|
|
Face Detection (SP)
|
100% |
26579
315.8 IPS |
|
|
Face Detection (HP)
|
100% |
44049
523.4 IPS |
|
|
Face Detection (Q)
|
97% |
23508
280.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
51051
393.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
106759
822.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
41217
329.0 IPS |
|
|
Style Transfer (SP)
|
100% |
162704
209.2 IPS |
|
|
Style Transfer (HP)
|
100% |
558358
717.8 IPS |
|
|
Style Transfer (Q)
|
98% |
142229
183.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31154
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58637
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23915
885.6 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4287
5.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2228
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4806
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1830
34.3 IPS |
