INTEL H110
Geekbench AI Score
1696
Single Precision Score
808
Half Precision Score
2225
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | January 26 2026 08:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL H110 |
| Motherboard | INTEL H110 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.4 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
96% |
1794
335.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
1310
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2188
2.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
4527
5.35 IPS |
|
|
Object Detection (SP)
|
100% |
1211
96.1 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (Q)
|
58% |
1319
144.2 IPS |
|
|
Face Detection (SP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
811
9.64 IPS |
|
|
Face Detection (Q)
|
96% |
3501
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3311
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
4404
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6289
8.08 IPS |
|
|
Style Transfer (HP)
|
100% |
4875
6.27 IPS |
|
|
Style Transfer (Q)
|
87% |
7644
9.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1515
56.1 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
504
672.3 IPS |
|
|
Text Classification (Q)
|
97% |
852
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
68% |
1399
27.0 IPS |
