Dell Inc. XPS 15 9570
Geekbench AI Score
379
Single Precision Score
162
Half Precision Score
499
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 08:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 15 9570 |
| Motherboard | Dell Inc. 0D0T05 |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
63
11.7 IPS |
|
|
Image Classification (Q)
|
96% |
426
79.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
99
1.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
475
7.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
601
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
447
0.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
950
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
75
5.94 IPS |
|
|
Object Detection (Q)
|
58% |
291
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (HP)
|
100% |
165
1.97 IPS |
|
|
Face Detection (Q)
|
96% |
580
6.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
185
1.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
880
7.03 IPS |
|
|
Style Transfer (SP)
|
100% |
1429
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1006
1.29 IPS |
|
|
Style Transfer (Q)
|
87% |
1901
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
380
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.4 IPS |
|
|
Text Classification (HP)
|
100% |
90
120.5 IPS |
|
|
Text Classification (Q)
|
97% |
139
186.8 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.79 IPS |
|
|
Machine Translation (Q)
|
68% |
335
6.46 IPS |
