LENOVO 20XY0045MZ
Geekbench AI Score
1349
Single Precision Score
760
Half Precision Score
2173
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20XY0045MZ |
| Motherboard | LENOVO 20XY0045MZ |
| Power Plan | Ausbalanciert |
| 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% |
840
156.3 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
99% |
2051
382.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
991
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1842
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1636
1.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
7290
8.54 IPS |
|
|
Object Detection (SP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
88% |
1059
84.9 IPS |
|
|
Face Detection (SP)
|
100% |
1702
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
2733
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2328
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1100
8.47 IPS |
|
|
Depth Estimation (Q)
|
77% |
4612
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4850
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4076
5.24 IPS |
|
|
Style Transfer (Q)
|
98% |
10920
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2113
78.3 IPS |
|
|
Text Classification (SP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.1 IPS |
|
|
Text Classification (Q)
|
97% |
382
511.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1210
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (Q)
|
60% |
1352
30.2 IPS |
