HP 750-175se
Geekbench AI Score
9878
Single Precision Score
9692
Half Precision Score
7122
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 26 2025 12:45 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| 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% |
2679
498.1 IPS |
|
|
Image Classification (HP)
|
100% |
4151
771.9 IPS |
|
|
Image Classification (Q)
|
99% |
2313
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6290
102.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6115
99.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5043
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71508
83.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
38845
45.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
55571
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
3398
269.6 IPS |
|
|
Object Detection (HP)
|
100% |
5235
415.3 IPS |
|
|
Object Detection (Q)
|
84% |
2913
235.0 IPS |
|
|
Face Detection (SP)
|
100% |
6895
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
10267
122.0 IPS |
|
|
Face Detection (Q)
|
97% |
5816
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22264
171.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19377
149.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
16548
132.3 IPS |
|
|
Style Transfer (SP)
|
100% |
114685
147.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63460
81.6 IPS |
|
|
Style Transfer (Q)
|
98% |
86293
111.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20995
775.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15582
575.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12191
451.4 IPS |
|
|
Text Classification (SP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3210
55.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1548
29.0 IPS |
