HP 750-175se
Geekbench AI Score
1659
Single Precision Score
822
Half Precision Score
2379
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | February 01 2026 09:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP 750-175se |
| Motherboard | HP 2B4B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
96% |
1801
336.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
2250
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2558
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2103
2.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
4223
4.99 IPS |
|
|
Object Detection (SP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
58% |
1323
144.5 IPS |
|
|
Face Detection (SP)
|
100% |
2191
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
816
9.70 IPS |
|
|
Face Detection (Q)
|
96% |
3509
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3243
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
4164
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5966
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
4566
5.87 IPS |
|
|
Style Transfer (Q)
|
87% |
7464
9.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1959
72.6 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
563
751.9 IPS |
|
|
Text Classification (Q)
|
97% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.64 IPS |
|
|
Machine Translation (Q)
|
68% |
1428
27.6 IPS |
