Dell Inc. Precision 5690
Geekbench AI Score
4319
Single Precision Score
6559
Half Precision Score
3153
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bkelly |
| Upload Date | December 04 2025 04:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
2848
529.7 IPS |
|
|
Image Classification (Q)
|
100% |
1612
299.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3243
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6038
97.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2403
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13888
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20455
23.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12183
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
99% |
4804
382.1 IPS |
|
|
Object Detection (Q)
|
86% |
2037
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8914
105.9 IPS |
|
|
Face Detection (Q)
|
97% |
3369
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8654
66.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
19000
146.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
8196
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
40673
52.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63332
81.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32478
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7064
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10639
392.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4064
150.5 IPS |
|
|
Text Classification (SP)
|
86% |
560
757.6 IPS |
|
|
Text Classification (HP)
|
99% |
475
633.3 IPS |
|
|
Text Classification (Q)
|
84% |
339
460.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (Q)
|
70% |
819
15.4 IPS |
