LENOVO 20Y0S0DU00
Geekbench AI Score
621
Single Precision Score
309
Half Precision Score
1483
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sarcoma |
| Upload Date | May 07 2025 01:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1185G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20Y0S0DU00 |
| Motherboard | LENOVO 20Y0S0DU00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
540
100.4 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
99% |
1560
291.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
1060
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
2217
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (Q)
|
86% |
942
75.7 IPS |
|
|
Face Detection (SP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
302
3.59 IPS |
|
|
Face Detection (Q)
|
97% |
2226
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
862
6.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
390
3.00 IPS |
|
|
Depth Estimation (Q)
|
78% |
2797
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1743
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
1437
1.85 IPS |
|
|
Style Transfer (Q)
|
98% |
5365
6.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
348
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
935
34.6 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.1 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.8 IPS |
|
|
Text Classification (Q)
|
97% |
492
659.0 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (Q)
|
65% |
975
19.6 IPS |
