HP 750-175se
Geekbench AI Score
6797
Single Precision Score
5754
Half Precision Score
4904
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | February 01 2026 09:06 PM |
| Views | 2 |
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% |
2898
539.0 IPS |
|
|
Image Classification (HP)
|
100% |
2813
523.1 IPS |
|
|
Image Classification (Q)
|
99% |
2468
460.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4255
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3972
64.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3472
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25210
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17822
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
21142
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
3348
265.5 IPS |
|
|
Object Detection (HP)
|
100% |
3328
264.0 IPS |
|
|
Object Detection (Q)
|
83% |
2836
229.1 IPS |
|
|
Face Detection (SP)
|
100% |
6782
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
6539
77.7 IPS |
|
|
Face Detection (Q)
|
97% |
5610
66.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15429
118.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12206
94.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11471
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49457
63.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34089
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38841
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9077
335.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8131
300.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6050
224.0 IPS |
|
|
Text Classification (SP)
|
100% |
1682
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1026
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
937
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2562
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2647
45.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1106
20.7 IPS |
