LENOVO 83LY
Geekbench AI Score
16839
Single Precision Score
30165
Half Precision Score
13159
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | cas1 |
| Upload Date | September 02 2025 02:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 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 i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6158
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
12173
2.26 KIPS |
|
|
Image Classification (Q)
|
99% |
5815
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12624
204.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18845
305.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12112
196.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
84435
98.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
267952
312.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
77400
90.7 IPS |
|
|
Object Detection (SP)
|
100% |
9429
747.9 IPS |
|
|
Object Detection (HP)
|
100% |
14816
1.18 KIPS |
|
|
Object Detection (Q)
|
87% |
8177
656.2 IPS |
|
|
Face Detection (SP)
|
100% |
22916
272.3 IPS |
|
|
Face Detection (HP)
|
100% |
37371
444.0 IPS |
|
|
Face Detection (Q)
|
97% |
20042
239.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41471
319.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
79279
610.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
34731
277.7 IPS |
|
|
Style Transfer (SP)
|
100% |
132548
170.4 IPS |
|
|
Style Transfer (HP)
|
100% |
380606
489.3 IPS |
|
|
Style Transfer (Q)
|
98% |
109628
141.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22599
834.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41527
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18605
688.9 IPS |
|
|
Text Classification (SP)
|
100% |
2661
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1654
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4543
78.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1488
27.9 IPS |
