LENOVO 20KES23M0H
Geekbench AI Score
863
Single Precision Score
1041
Half Precision Score
684
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xDJoelDx |
| Upload Date | January 16 2025 11:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20KES23M0H |
| Motherboard | LENOVO 20KES23M0H |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
100% |
369
68.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
428
6.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
2239
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3581
4.18 IPS |
|
|
Pose Estimation (Q)
|
97% |
1987
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (HP)
|
98% |
483
38.5 IPS |
|
|
Object Detection (Q)
|
86% |
399
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
608
7.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
1596
12.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2063
15.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
1339
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5457
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
8471
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4254
5.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
830
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.7 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.0 IPS |
|
|
Text Classification (Q)
|
97% |
258
345.8 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
70% |
242
4.54 IPS |
