HP HP EliteBook 630 13.3 inch G10 Notebook PC
Geekbench AI Score
2265
Single Precision Score
2399
Half Precision Score
1426
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 04:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows10 Professionnel (64-bit) |
| Model | HP HP EliteBook 630 13.3 inch G10 Notebook PC |
| Motherboard | HP 8B86 |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
996
185.3 IPS |
|
|
Image Classification (HP)
|
100% |
1032
192.0 IPS |
|
|
Image Classification (Q)
|
100% |
861
160.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
992
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7194
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
9183
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
4216
4.94 IPS |
|
|
Object Detection (SP)
|
100% |
1156
91.7 IPS |
|
|
Object Detection (HP)
|
98% |
1033
82.2 IPS |
|
|
Object Detection (Q)
|
86% |
957
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
1764
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
1301
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4439
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5022
38.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3177
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17833
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23634
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
10897
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3520
130.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1197
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
413
551.1 IPS |
|
|
Text Classification (Q)
|
97% |
434
580.8 IPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
70% |
432
8.11 IPS |
