HP 750-175se
Geekbench AI Score
2342
Single Precision Score
2347
Half Precision Score
3370
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | February 01 2026 09:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz |
| 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% |
1475
274.2 IPS |
|
|
Image Classification (HP)
|
100% |
1471
273.5 IPS |
|
|
Image Classification (Q)
|
100% |
2218
412.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2477
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2733
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2731
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
5357
6.28 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (Q)
|
87% |
2231
178.9 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
5832
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3667
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3688
28.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5996
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8370
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8372
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15238
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3122
115.6 IPS |
|
|
Text Classification (SP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (Q)
|
91% |
726
975.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2389
41.2 IPS |
