HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1295
Single Precision Score
1980
Half Precision Score
1883
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 01:31 AM |
| Views | 2 |
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% |
941
175.0 IPS |
|
|
Image Classification (HP)
|
100% |
1446
269.0 IPS |
|
|
Image Classification (Q)
|
100% |
1252
232.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1592
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2183
2.55 IPS |
|
|
Pose Estimation (HP)
|
99% |
2175
2.55 IPS |
|
|
Pose Estimation (Q)
|
97% |
3139
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
820
65.0 IPS |
|
|
Object Detection (HP)
|
99% |
1411
112.2 IPS |
|
|
Object Detection (Q)
|
88% |
1327
106.5 IPS |
|
|
Face Detection (SP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (Q)
|
97% |
2914
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2644
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4611
35.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
3956
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6324
8.13 IPS |
|
|
Style Transfer (HP)
|
100% |
9074
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
7979
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1910
70.7 IPS |
|
|
Text Classification (SP)
|
71% |
553
800.0 IPS |
|
|
Text Classification (HP)
|
71% |
609
881.6 IPS |
|
|
Text Classification (Q)
|
92% |
492
660.7 IPS |
|
|
Machine Translation (SP)
|
100% |
562
9.67 IPS |
|
|
Machine Translation (HP)
|
97% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
90% |
785
13.6 IPS |
