LENOVO 20Y30066US
Geekbench AI Score
8610
Single Precision Score
14276
Half Precision Score
5598
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 01:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20Y30066US |
| Motherboard | LENOVO 20Y30066US |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3440
639.7 IPS |
|
|
Image Classification (HP)
|
99% |
5628
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
2370
440.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6412
103.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9674
156.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4960
80.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
44433
51.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
128030
149.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
36771
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4322
342.8 IPS |
|
|
Object Detection (HP)
|
100% |
7627
605.0 IPS |
|
|
Object Detection (Q)
|
85% |
3193
257.1 IPS |
|
|
Face Detection (SP)
|
100% |
11853
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
17691
210.2 IPS |
|
|
Face Detection (Q)
|
97% |
8975
107.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20081
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37006
285.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13462
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
69120
88.9 IPS |
|
|
Style Transfer (HP)
|
100% |
176372
226.7 IPS |
|
|
Style Transfer (Q)
|
98% |
56995
73.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14028
518.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19584
723.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7800
288.8 IPS |
|
|
Text Classification (SP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (HP)
|
99% |
1498
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
594
795.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (Q)
|
70% |
687
12.9 IPS |
