Dell Inc. Precision 3590
Geekbench AI Score
5793
Single Precision Score
10260
Half Precision Score
16943
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 10:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 3590 |
| Motherboard | Dell Inc. 0JFGN8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4418
821.6 IPS |
|
|
Image Classification (HP)
|
100% |
7217
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
9210
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7586
123.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13226
214.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17547
20.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
20542
24.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
72298
84.6 IPS |
|
|
Object Detection (SP)
|
100% |
3798
301.3 IPS |
|
|
Object Detection (HP)
|
100% |
7732
613.3 IPS |
|
|
Object Detection (Q)
|
88% |
11820
947.2 IPS |
|
|
Face Detection (SP)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
11325
134.6 IPS |
|
|
Face Detection (Q)
|
100% |
22784
270.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13481
103.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
26959
208.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
34986
271.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42157
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
62911
80.9 IPS |
|
|
Style Transfer (Q)
|
98% |
156231
201.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13603
502.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21121
782.2 IPS |
|
|
Text Classification (SP)
|
71% |
1750
2.53 KIPS |
|
|
Text Classification (HP)
|
71% |
2359
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2725
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2413
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2614
45.2 IPS |
