Dell Inc. XPS 15 7590
Geekbench AI Score
2901
Single Precision Score
2860
Half Precision Score
4159
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 04:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 15 7590 |
| Motherboard | Dell Inc. 018W12 |
| 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% |
1880
349.6 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.3 IPS |
|
|
Image Classification (Q)
|
100% |
2868
533.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3583
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2554
2.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
4755
5.58 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
1803
143.1 IPS |
|
|
Object Detection (Q)
|
87% |
2829
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
7868
93.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4741
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4819
37.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
7753
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10492
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10770
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20695
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2225
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2214
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4330
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2019
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2049
2.73 KIPS |
|
|
Text Classification (Q)
|
91% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2917
50.3 IPS |
