LENOVO YOGA 370 LENOVO 20JJS0FT0B
Geekbench AI Score
382
Single Precision Score
280
Half Precision Score
305
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 13 2024 08:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20JJS0FT0B |
| Motherboard | LENOVO 20JJS0FT0B |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
219
40.8 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
189
35.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
256
4.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
89% |
175
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (HP)
|
100% |
331
3.93 IPS |
|
|
Face Detection (Q)
|
97% |
323
3.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
693
5.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
481
3.71 IPS |
|
|
Depth Estimation (Q)
|
75% |
564
4.55 IPS |
|
|
Style Transfer (SP)
|
100% |
1379
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1063
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1295
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
252
9.30 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
331
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.4 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.2 IPS |
|
|
Text Classification (Q)
|
97% |
128
171.5 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (HP)
|
96% |
210
3.63 IPS |
|
|
Machine Translation (Q)
|
60% |
124
2.76 IPS |
