Dell Inc. XPS 15 9500
Geekbench AI Score
2427
Single Precision Score
1103
Half Precision Score
3782
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | September 07 2025 05:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10885H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 15 9500 |
| Motherboard | Dell Inc. 0XWT2F |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10885H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
96% |
3541
661.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
4412
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4044
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3125
3.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
7583
8.96 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (Q)
|
58% |
2101
229.5 IPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5536
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5428
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1534
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7209
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10069
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7521
9.67 IPS |
|
|
Style Transfer (Q)
|
87% |
10338
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3385
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.7 IPS |
|
|
Text Classification (Q)
|
97% |
1106
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
68% |
1559
30.1 IPS |
