Dell Inc. Precision 5690
Geekbench AI Score
8386
Single Precision Score
13425
Half Precision Score
20221
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bkelly |
| Upload Date | December 03 2025 09:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5988
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
8911
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
10520
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5116
82.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12661
205.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18411
298.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23096
26.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22191
26.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
80321
94.0 IPS |
|
|
Object Detection (SP)
|
100% |
5099
404.5 IPS |
|
|
Object Detection (HP)
|
100% |
9326
739.8 IPS |
|
|
Object Detection (Q)
|
88% |
11846
949.3 IPS |
|
|
Face Detection (SP)
|
100% |
9933
118.0 IPS |
|
|
Face Detection (HP)
|
100% |
18237
216.7 IPS |
|
|
Face Detection (Q)
|
100% |
32540
386.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19720
151.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
34252
264.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
39123
304.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55189
70.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71535
92.0 IPS |
|
|
Style Transfer (Q)
|
98% |
181648
234.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9232
340.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15659
578.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23467
869.1 IPS |
|
|
Text Classification (SP)
|
71% |
1752
2.53 KIPS |
|
|
Text Classification (HP)
|
71% |
2753
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2797
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4230
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4087
70.6 IPS |
