HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
845
Single Precision Score
926
Half Precision Score
641
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 01:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon 530 Series |
| 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% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
100% |
218
40.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
378
6.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
4180
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4221
4.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
3547
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
87% |
279
22.4 IPS |
|
|
Face Detection (SP)
|
100% |
652
7.74 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
97% |
534
6.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
1541
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1698
13.1 IPS |
|
|
Depth Estimation (Q)
|
71% |
1196
9.98 IPS |
|
|
Style Transfer (SP)
|
100% |
6682
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
6755
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
5609
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
214
285.7 IPS |
|
|
Text Classification (HP)
|
100% |
277
370.1 IPS |
|
|
Text Classification (Q)
|
97% |
172
230.5 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (HP)
|
96% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
234
5.27 IPS |
