LENOVO 20HMS17S0C
Geekbench AI Score
427
Single Precision Score
261
Half Precision Score
520
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | reubz11 |
| Upload Date | March 16 2025 01:23 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7300U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20HMS17S0C |
| Motherboard | LENOVO 20HMS17S0C |
| Power Plan | Balanced |
| 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% |
228
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
96% |
386
72.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
318
5.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (Q)
|
87% |
1167
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (Q)
|
86% |
272
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
462
5.48 IPS |
|
|
Face Detection (HP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (Q)
|
96% |
713
8.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
743
5.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
388
2.99 IPS |
|
|
Depth Estimation (Q)
|
77% |
721
5.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1693
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
1238
1.59 IPS |
|
|
Style Transfer (Q)
|
87% |
2115
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
337
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
523
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
334
446.0 IPS |
|
|
Text Classification (HP)
|
100% |
186
247.7 IPS |
|
|
Text Classification (Q)
|
97% |
174
233.6 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (Q)
|
60% |
379
8.46 IPS |
