LENOVO 20NYS2XT03
Geekbench AI Score
937
Single Precision Score
1098
Half Precision Score
766
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | chuk |
| Upload Date | January 12 2025 04:10 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 20NYS2XT03 |
| Motherboard | LENOVO 20NYS2XT03 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
400
74.3 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.8 IPS |
|
|
Image Classification (Q)
|
100% |
412
76.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
490
7.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
2263
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3601
4.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
2065
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
98% |
491
39.0 IPS |
|
|
Object Detection (Q)
|
86% |
440
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
804
9.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1701
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2128
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1457
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5800
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
8725
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
4965
6.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1155
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
894
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.3 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.3 IPS |
|
|
Text Classification (Q)
|
97% |
276
369.1 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
70% |
266
4.99 IPS |
