HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
845
Single Precision Score
927
Half Precision Score
638
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 29 2024 04:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon R7 M440 |
| 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
46.4 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.6 IPS |
|
|
Image Classification (Q)
|
100% |
218
40.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4221
4.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
3540
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
87% |
282
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (HP)
|
100% |
697
8.29 IPS |
|
|
Face Detection (Q)
|
97% |
532
6.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
1539
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1682
13.0 IPS |
|
|
Depth Estimation (Q)
|
71% |
1197
9.98 IPS |
|
|
Style Transfer (SP)
|
100% |
6683
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
6757
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
5608
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1012
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.8 IPS |
|
|
Text Classification (HP)
|
100% |
286
382.3 IPS |
|
|
Text Classification (Q)
|
97% |
164
220.1 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
96% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
233
5.24 IPS |
