Dell Inc. Inspiron 7570
Geekbench AI Score
1044
Single Precision Score
543
Half Precision Score
1260
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | smt331 |
| Upload Date | November 23 2024 08:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. Inspiron 7570 |
| Motherboard | Dell Inc. 06K08K |
| Power Plan | Optimized performance and energy saving |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (Q)
|
96% |
1080
201.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1524
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
2894
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (Q)
|
86% |
710
57.1 IPS |
|
|
Face Detection (SP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
609
7.24 IPS |
|
|
Face Detection (Q)
|
96% |
1652
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1625
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
731
5.63 IPS |
|
|
Depth Estimation (Q)
|
77% |
2062
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3870
4.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2740
3.52 IPS |
|
|
Style Transfer (Q)
|
87% |
5761
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1209
44.8 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
374
498.9 IPS |
|
|
Text Classification (Q)
|
97% |
292
390.6 IPS |
|
|
Machine Translation (SP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (Q)
|
60% |
859
19.2 IPS |
