HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
833
Single Precision Score
924
Half Precision Score
635
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 22 2024 12:39 AM |
| Views | 3 |
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
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.6 IPS |
|
|
Image Classification (Q)
|
100% |
222
41.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
4183
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4224
4.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
3541
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
87% |
270
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
97% |
535
6.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
1538
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1677
12.9 IPS |
|
|
Depth Estimation (Q)
|
71% |
1187
9.90 IPS |
|
|
Style Transfer (SP)
|
100% |
6682
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
6752
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
5600
7.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1006
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.1 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.1 IPS |
|
|
Text Classification (Q)
|
97% |
163
217.7 IPS |
|
|
Machine Translation (SP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (HP)
|
96% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
232
5.22 IPS |
