Dell Inc. Inspiron 7559
Geekbench AI Score
1237
Single Precision Score
418
Half Precision Score
1570
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | oleker |
| Upload Date | October 11 2024 12:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700HQ |
| System Information | |
|---|---|
| Operating System | Zorin OS 17.2 |
| Model | Dell Inc. Inspiron 7559 |
| Motherboard | Dell Inc. 0H0CC0 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
826
153.6 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (Q)
|
93% |
1177
220.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1134
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1675
1.95 IPS |
|
|
Pose Estimation (Q)
|
87% |
3740
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
86% |
842
67.7 IPS |
|
|
Face Detection (SP)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (Q)
|
96% |
2046
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2437
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
609
4.69 IPS |
|
|
Depth Estimation (Q)
|
77% |
2200
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5201
6.69 IPS |
|
|
Style Transfer (HP)
|
100% |
4070
5.23 IPS |
|
|
Style Transfer (Q)
|
87% |
6232
8.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
998
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1190
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
264
351.9 IPS |
|
|
Text Classification (Q)
|
97% |
678
907.4 IPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
60% |
962
21.5 IPS |
