Dell Inc. XPS 8700
Geekbench AI Score
2030
Single Precision Score
2005
Half Precision Score
2260
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Conastowy |
| Upload Date | November 11 2025 09:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. XPS 8700 |
| Motherboard | Dell Inc. 0KWVT8 |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1222
227.2 IPS |
|
|
Image Classification (HP)
|
100% |
1254
233.2 IPS |
|
|
Image Classification (Q)
|
100% |
1252
232.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1700
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2805
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2194
2.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
2981
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (HP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (Q)
|
87% |
1338
107.3 IPS |
|
|
Face Detection (SP)
|
100% |
2328
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
2346
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
4163
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3508
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3501
27.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3921
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8050
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7989
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
9309
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1962
72.7 IPS |
|
|
Text Classification (SP)
|
100% |
1690
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1668
2.23 KIPS |
|
|
Text Classification (Q)
|
91% |
688
925.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2003
34.5 IPS |
