LENOVO 20XWCTO1WW
Geekbench AI Score
2818
Single Precision Score
2855
Half Precision Score
1792
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Jeffnt326 |
| Upload Date | May 26 2025 06:44 PM |
| Views | 6 |
| Notes | -Plugged In -Balanced -Lenovo Intelligent Cooling Enabled |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20XWCTO1WW |
| Motherboard | LENOVO 20XWCTO1WW |
| 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% |
1236
229.8 IPS |
|
|
Image Classification (HP)
|
100% |
1252
232.8 IPS |
|
|
Image Classification (Q)
|
100% |
1032
192.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1311
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11888
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12252
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5884
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.8 IPS |
|
|
Object Detection (HP)
|
98% |
1264
100.6 IPS |
|
|
Object Detection (Q)
|
86% |
1190
95.7 IPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
3463
41.2 IPS |
|
|
Face Detection (Q)
|
97% |
2127
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5777
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6467
50.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4040
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25266
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32245
41.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15388
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3520
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4404
162.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1465
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
725
967.9 IPS |
|
|
Text Classification (HP)
|
100% |
396
529.1 IPS |
|
|
Text Classification (Q)
|
97% |
436
583.7 IPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
70% |
429
8.04 IPS |
