HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1289
Single Precision Score
1958
Half Precision Score
1897
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 22 2024 01:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Notebook - 14s-cr2003tx |
| Motherboard | HP 8659 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
925
172.0 IPS |
|
|
Image Classification (HP)
|
100% |
1416
263.4 IPS |
|
|
Image Classification (Q)
|
100% |
1305
242.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1602
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2135
2.49 IPS |
|
|
Pose Estimation (HP)
|
99% |
2212
2.59 IPS |
|
|
Pose Estimation (Q)
|
97% |
3127
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
805
63.8 IPS |
|
|
Object Detection (HP)
|
99% |
1401
111.4 IPS |
|
|
Object Detection (Q)
|
88% |
1334
107.0 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (Q)
|
97% |
2931
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2632
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4627
35.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
4039
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6379
8.20 IPS |
|
|
Style Transfer (HP)
|
100% |
8294
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8019
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1893
70.1 IPS |
|
|
Text Classification (SP)
|
71% |
548
792.6 IPS |
|
|
Text Classification (HP)
|
71% |
618
893.4 IPS |
|
|
Text Classification (Q)
|
92% |
490
657.7 IPS |
|
|
Machine Translation (SP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (HP)
|
97% |
790
13.7 IPS |
|
|
Machine Translation (Q)
|
90% |
789
13.7 IPS |
