HP 750-175se
Geekbench AI Score
12291
Single Precision Score
21083
Half Precision Score
8625
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 01 2025 06:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| 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 i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5336
992.3 IPS |
|
|
Image Classification (HP)
|
100% |
9183
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
4187
781.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8405
136.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11910
193.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6824
111.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56007
65.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
157236
183.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
47523
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
6256
496.2 IPS |
|
|
Object Detection (HP)
|
100% |
10654
845.1 IPS |
|
|
Object Detection (Q)
|
84% |
4920
396.8 IPS |
|
|
Face Detection (SP)
|
100% |
14706
174.7 IPS |
|
|
Face Detection (HP)
|
100% |
23657
281.1 IPS |
|
|
Face Detection (Q)
|
97% |
11887
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
29983
231.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58283
449.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
21140
168.9 IPS |
|
|
Style Transfer (SP)
|
100% |
100548
129.3 IPS |
|
|
Style Transfer (HP)
|
100% |
236692
304.3 IPS |
|
|
Style Transfer (Q)
|
98% |
82098
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17846
659.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30585
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10973
406.3 IPS |
|
|
Text Classification (SP)
|
100% |
1948
2.60 KIPS |
|
|
Text Classification (HP)
|
99% |
2918
3.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1101
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1369
25.7 IPS |
