Dell Inc. Precision 5560
Geekbench AI Score
2593
Single Precision Score
1238
Half Precision Score
6530
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 24 2026 12:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5560 |
| Motherboard | Dell Inc. 0WPMMN |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2143
398.6 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
99% |
6333
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6662
108.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3639
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3087
3.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
16565
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
6100
490.3 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
8201
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4763
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1665
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12745
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8795
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8036
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16651
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5419
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1316
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2665
53.5 IPS |
