LENOVO 20Y30066US
Geekbench AI Score
8346
Single Precision Score
13929
Half Precision Score
5541
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 12:42 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% |
3229
600.5 IPS |
|
|
Image Classification (HP)
|
99% |
5496
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
2387
443.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6230
101.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9431
152.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4960
80.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
44152
51.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
125268
146.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
36686
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
4087
324.2 IPS |
|
|
Object Detection (HP)
|
100% |
7389
586.1 IPS |
|
|
Object Detection (Q)
|
85% |
3085
248.4 IPS |
|
|
Face Detection (SP)
|
100% |
11853
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
17389
206.6 IPS |
|
|
Face Detection (Q)
|
97% |
8951
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19755
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36005
277.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
13083
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
68538
88.1 IPS |
|
|
Style Transfer (HP)
|
100% |
170071
218.6 IPS |
|
|
Style Transfer (Q)
|
98% |
56784
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13094
483.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19057
703.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7678
284.3 IPS |
|
|
Text Classification (SP)
|
100% |
1167
1.56 KIPS |
|
|
Text Classification (HP)
|
99% |
1497
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
585
783.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1843
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (Q)
|
70% |
682
12.8 IPS |
