LENOVO 20QQSAPE00
Geekbench AI Score
1640
Single Precision Score
751
Half Precision Score
2517
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20QQSAPE00 |
| Motherboard | LENOVO 20QQSAPE00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (Q)
|
96% |
2184
407.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
470
7.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
2724
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2688
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1925
2.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
4517
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
1054
83.6 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
58% |
1368
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
2357
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.42 IPS |
|
|
Face Detection (Q)
|
96% |
3753
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2982
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
965
7.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
4331
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5778
7.43 IPS |
|
|
Style Transfer (HP)
|
100% |
4377
5.63 IPS |
|
|
Style Transfer (Q)
|
87% |
7899
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1846
68.4 IPS |
|
|
Text Classification (SP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
499
666.2 IPS |
|
|
Text Classification (Q)
|
97% |
780
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
68% |
1502
29.0 IPS |
