Dell Inc. Precision 5490
Geekbench AI Score
8787
Single Precision Score
13575
Half Precision Score
20412
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 03:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5490 |
| Motherboard | Dell Inc. 0MDP90 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| 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% |
6058
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
8955
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
10540
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5365
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13529
219.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20538
332.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24845
29.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23562
27.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
79823
93.5 IPS |
|
|
Object Detection (SP)
|
100% |
5686
451.0 IPS |
|
|
Object Detection (HP)
|
100% |
9332
740.2 IPS |
|
|
Object Detection (Q)
|
88% |
13050
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
10153
120.6 IPS |
|
|
Face Detection (HP)
|
100% |
20393
242.3 IPS |
|
|
Face Detection (Q)
|
100% |
32369
384.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20486
157.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
35655
275.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
39503
307.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59802
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
75931
97.6 IPS |
|
|
Style Transfer (Q)
|
98% |
188112
242.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9747
359.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15844
585.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23956
887.2 IPS |
|
|
Text Classification (SP)
|
71% |
1718
2.49 KIPS |
|
|
Text Classification (HP)
|
71% |
2544
3.68 KIPS |
|
|
Text Classification (Q)
|
92% |
2726
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2871
49.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3587
62.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3545
61.1 IPS |
