Dell Inc. Precision 5690
Geekbench AI Score
1835
Single Precision Score
7747
Half Precision Score
11250
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bkelly |
| Upload Date | December 04 2025 04:26 AM |
| Views | 6 |
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% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
4839
899.9 IPS |
|
|
Image Classification (Q)
|
100% |
6419
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2852
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1979
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
28579
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62845
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
1102
87.4 IPS |
|
|
Object Detection (HP)
|
100% |
4567
362.2 IPS |
|
|
Object Detection (Q)
|
88% |
7677
615.5 IPS |
|
|
Face Detection (SP)
|
100% |
4471
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
14986
178.1 IPS |
|
|
Face Detection (Q)
|
100% |
23506
279.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3751
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16722
128.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
29323
228.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10885
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49255
63.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85407
110.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12232
451.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21224
786.0 IPS |
|
|
Text Classification (SP)
|
100% |
1085
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
1041
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2863
49.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2829
48.7 IPS |
