Dell Inc. XPS 15 7590
Geekbench AI Score
2157
Single Precision Score
911
Half Precision Score
2570
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 12:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. XPS 15 7590 |
| Motherboard | Dell Inc. 0VYV0G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1640
305.1 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
1843
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2527
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1934
2.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
4686
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
58% |
1648
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
930
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
4838
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4835
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1244
9.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
5773
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8086
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6262
8.05 IPS |
|
|
Style Transfer (Q)
|
87% |
9695
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2632
97.5 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
629
840.1 IPS |
|
|
Text Classification (Q)
|
97% |
350
468.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1619
31.3 IPS |
