Dell Inc. XPS 15 9510
Geekbench AI Score
2465
Single Precision Score
1117
Half Precision Score
5029
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | PhilippLue |
| Upload Date | January 08 2025 08:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 15 9510 |
| Motherboard | Dell Inc. 01V4T3 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1730
321.7 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (Q)
|
99% |
4679
872.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2672
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3900
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3238
3.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
16512
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
86% |
5025
403.8 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
6909
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4797
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1560
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11270
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9289
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7887
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16878
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2960
109.6 IPS |
|
|
Text Classification (SP)
|
100% |
1232
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
644
859.1 IPS |
|
|
Text Classification (Q)
|
97% |
1171
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (Q)
|
65% |
2192
44.1 IPS |
