LENOVO 20WE
Geekbench AI Score
2389
Single Precision Score
2616
Half Precision Score
1497
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 23 2024 09:13 PM |
| Views | 3 |
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 20WE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1000
186.0 IPS |
|
|
Image Classification (HP)
|
100% |
1080
200.8 IPS |
|
|
Image Classification (Q)
|
99% |
832
155.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1162
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8267
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
10830
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5078
5.95 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.0 IPS |
|
|
Object Detection (HP)
|
98% |
1199
95.4 IPS |
|
|
Object Detection (Q)
|
89% |
983
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2802
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
1251
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5087
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6142
47.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
3623
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22051
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30523
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13358
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3057
112.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4071
150.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1358
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.7 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.5 IPS |
|
|
Text Classification (Q)
|
97% |
416
556.9 IPS |
|
|
Machine Translation (SP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
60% |
344
7.68 IPS |
