HP 750-175se
Geekbench AI Score
6825
Single Precision Score
5765
Half Precision Score
4912
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 25 2025 12:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2901
539.5 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.6 IPS |
|
|
Image Classification (Q)
|
99% |
2461
459.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4261
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3953
64.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3485
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
25289
29.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17837
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
21254
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
3367
267.1 IPS |
|
|
Object Detection (HP)
|
100% |
3326
263.8 IPS |
|
|
Object Detection (Q)
|
83% |
2829
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
6803
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
6557
77.9 IPS |
|
|
Face Detection (Q)
|
97% |
5628
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15450
119.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12315
94.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11440
91.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49615
63.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34165
43.9 IPS |
|
|
Style Transfer (Q)
|
98% |
39031
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9102
336.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8167
301.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6052
224.1 IPS |
|
|
Text Classification (SP)
|
100% |
1709
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
945
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2570
44.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2637
45.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1105
20.7 IPS |
