HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
906
Single Precision Score
1005
Half Precision Score
708
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | March 03 2026 11:15 AM |
| Views | 6 |
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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
100% |
250
46.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
390
6.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
4196
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4244
4.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
3588
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
85% |
300
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (Q)
|
97% |
629
7.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
1632
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1791
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
1328
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6722
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
6797
8.74 IPS |
|
|
Style Transfer (Q)
|
98% |
5669
7.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1047
38.8 IPS |
|
|
Text Classification (SP)
|
100% |
266
354.8 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.3 IPS |
|
|
Text Classification (Q)
|
97% |
207
277.7 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
96% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
70% |
296
5.55 IPS |
