LENOVO 20TAA006CD
Geekbench AI Score
1178
Single Precision Score
593
Half Precision Score
2430
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sheep0210 |
| Upload Date | April 05 2025 02:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | LENOVO 20TAA006CD |
| Motherboard | LENOVO 20TAA006CD |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1049
195.1 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.3 IPS |
|
|
Image Classification (Q)
|
99% |
1930
360.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
868
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
6221
7.29 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.5 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (Q)
|
86% |
2534
203.6 IPS |
|
|
Face Detection (SP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (Q)
|
97% |
4836
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2425
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
879
6.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
6615
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3493
4.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2730
3.51 IPS |
|
|
Style Transfer (Q)
|
98% |
7569
9.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2200
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
985
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
527
703.2 IPS |
|
|
Text Classification (Q)
|
97% |
406
544.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
65% |
1515
30.4 IPS |
