LENOVO 90Q7003EFC
Geekbench AI Score
1736
Single Precision Score
863
Half Precision Score
2280
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 09:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 90Q7003EFC |
| Motherboard | LENOVO 3307 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.4 IPS |
|
|
Image Classification (Q)
|
96% |
1789
334.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
1274
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2866
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2207
2.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
4687
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (Q)
|
58% |
1351
147.7 IPS |
|
|
Face Detection (SP)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
893
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
3608
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3470
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1265
9.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
4543
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6562
8.44 IPS |
|
|
Style Transfer (HP)
|
100% |
5128
6.59 IPS |
|
|
Style Transfer (Q)
|
87% |
7951
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1063
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1658
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
526
702.2 IPS |
|
|
Text Classification (Q)
|
97% |
903
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (Q)
|
68% |
1354
26.2 IPS |
