Dell Inc. Precision 5690
Geekbench AI Score
2898
Single Precision Score
9010
Half Precision Score
13868
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bkelly |
| Upload Date | December 03 2025 09:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5690 |
| Motherboard | Dell Inc. 017RV9 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
6228
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8713
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2985
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4692
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
29746
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
65071
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (HP)
|
100% |
5308
421.0 IPS |
|
|
Object Detection (Q)
|
88% |
9005
721.9 IPS |
|
|
Face Detection (SP)
|
100% |
4531
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
15907
189.0 IPS |
|
|
Face Detection (Q)
|
100% |
29220
347.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4301
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17127
132.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31995
249.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13949
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48859
62.8 IPS |
|
|
Style Transfer (Q)
|
98% |
88576
114.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2478
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14304
528.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27490
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1815
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1859
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1881
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4101
70.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4032
69.5 IPS |
