Dell Inc. Inspiron 5593
Geekbench AI Score
1054
Single Precision Score
570
Half Precision Score
2046
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | smalamoudi |
| Upload Date | April 08 2025 11:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Inspiron 5593 |
| Motherboard | Dell Inc. 09PY2G |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
99% |
2111
393.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1059
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1545
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1231
1.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
5656
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
86% |
1729
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (Q)
|
97% |
3280
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1808
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
840
6.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
4764
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3691
4.74 IPS |
|
|
Style Transfer (HP)
|
100% |
2946
3.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6208
8.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
741
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1660
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
627
837.1 IPS |
|
|
Text Classification (HP)
|
100% |
422
563.7 IPS |
|
|
Text Classification (Q)
|
97% |
328
439.8 IPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
65% |
1117
22.4 IPS |
