LENOVO 20Y0S0DU00
Geekbench AI Score
7485
Single Precision Score
8266
Half Precision Score
5609
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sarcoma |
| Upload Date | May 07 2025 01:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20Y0S0DU00 |
| Motherboard | LENOVO 20Y0S0DU00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2882
536.0 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.8 IPS |
|
|
Image Classification (Q)
|
100% |
2268
421.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4059
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3737
60.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2929
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66001
77.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
96816
113.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
54031
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
3780
299.8 IPS |
|
|
Object Detection (HP)
|
100% |
3861
306.3 IPS |
|
|
Object Detection (Q)
|
88% |
2951
236.6 IPS |
|
|
Face Detection (SP)
|
100% |
9578
113.8 IPS |
|
|
Face Detection (HP)
|
100% |
11338
134.7 IPS |
|
|
Face Detection (Q)
|
97% |
8615
102.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22406
172.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26176
201.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
16572
132.7 IPS |
|
|
Style Transfer (SP)
|
100% |
115193
148.1 IPS |
|
|
Style Transfer (HP)
|
100% |
151576
194.9 IPS |
|
|
Style Transfer (Q)
|
98% |
93286
120.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11906
439.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13940
514.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8326
308.3 IPS |
|
|
Text Classification (SP)
|
100% |
597
797.3 IPS |
|
|
Text Classification (HP)
|
100% |
623
831.7 IPS |
|
|
Text Classification (Q)
|
97% |
481
644.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
70% |
546
10.2 IPS |
