HP HP Engage Flex Mini Retail System
Geekbench AI Score
1627
Single Precision Score
2302
Half Precision Score
2220
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ngless |
| Upload Date | June 06 2025 07:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Engage Flex Mini Retail System |
| Motherboard | HP 8715 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1027
191.0 IPS |
|
|
Image Classification (HP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (Q)
|
100% |
1432
266.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2102
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2595
3.03 IPS |
|
|
Pose Estimation (HP)
|
99% |
2411
2.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
3549
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
99% |
1615
128.5 IPS |
|
|
Object Detection (Q)
|
88% |
1517
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (Q)
|
97% |
4297
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3042
23.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5194
40.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
4652
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7255
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
9722
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8744
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2117
78.4 IPS |
|
|
Text Classification (SP)
|
71% |
649
938.7 IPS |
|
|
Text Classification (HP)
|
71% |
695
1.01 KIPS |
|
|
Text Classification (Q)
|
92% |
480
645.3 IPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
97% |
883
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1012
17.5 IPS |
