HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1636
Single Precision Score
1542
Half Precision Score
2820
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 12:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10210U CPU @ 1.60GHz |
| 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% |
1131
210.3 IPS |
|
|
Image Classification (HP)
|
100% |
1049
195.1 IPS |
|
|
Image Classification (Q)
|
100% |
1941
361.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1854
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2081
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1696
1.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
3624
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.1 IPS |
|
|
Object Detection (Q)
|
87% |
1921
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1705
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
4858
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2747
21.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2600
20.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
5187
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5456
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
5792
7.45 IPS |
|
|
Style Transfer (Q)
|
98% |
13167
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2865
106.1 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1315
1.76 KIPS |
|
|
Text Classification (Q)
|
91% |
1027
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
90% |
1305
22.7 IPS |
