Dell Inc. Inspiron 7559
Geekbench AI Score
876
Single Precision Score
873
Half Precision Score
537
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | oleker |
| Upload Date | October 11 2024 12:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
646
120.1 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.6 IPS |
|
|
Image Classification (Q)
|
99% |
348
64.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
976
1.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
910
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
85% |
372
30.0 IPS |
|
|
Face Detection (SP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
782
9.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
1026
7.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
1051
8.10 IPS |
|
|
Depth Estimation (Q)
|
63% |
743
6.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1356
1.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1363
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
1883
2.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
597
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
525
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
296
397.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (Q)
|
58% |
245
5.76 IPS |
