Dell Inc. XPS 15 9575
Geekbench AI Score
1997
Single Precision Score
1993
Half Precision Score
2904
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8705G CPU @ 3.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 15 9575 |
| Motherboard | Dell Inc. 0WV8FC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8705G |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1245
231.5 IPS |
|
|
Image Classification (HP)
|
100% |
1269
236.1 IPS |
|
|
Image Classification (Q)
|
100% |
1966
365.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2186
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
4296
5.04 IPS |
|
|
Object Detection (SP)
|
100% |
1168
92.6 IPS |
|
|
Object Detection (HP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (Q)
|
87% |
1888
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2470
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
5145
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3073
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3094
23.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5059
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6724
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
6708
8.62 IPS |
|
|
Style Transfer (Q)
|
98% |
12514
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2690
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1486
1.98 KIPS |
|
|
Text Classification (Q)
|
91% |
668
898.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2116
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2129
36.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2095
36.1 IPS |
