LENOVO 10AW009PMX
Geekbench AI Score
1570
Single Precision Score
787
Half Precision Score
1798
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | October 28 2025 11:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10AW009PMX |
| Motherboard | LENOVO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790S |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (Q)
|
96% |
1372
256.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
1664
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2201
2.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
3036
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
1226
97.3 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
58% |
992
108.4 IPS |
|
|
Face Detection (SP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
843
10.0 IPS |
|
|
Face Detection (Q)
|
96% |
3051
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3435
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1225
9.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
3351
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6179
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
5113
6.57 IPS |
|
|
Style Transfer (Q)
|
87% |
5243
6.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1234
45.7 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
398
531.0 IPS |
|
|
Text Classification (Q)
|
97% |
621
831.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (Q)
|
68% |
1255
24.3 IPS |
