HP HP EliteBook 630 13.3 inch G11 Notebook PC
Geekbench AI Score
2194
Single Precision Score
956
Half Precision Score
4343
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Major-Osa |
| Upload Date | February 27 2025 01:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 630 13.3 inch G11 Notebook PC |
| Motherboard | HP 8C85 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.1 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
99% |
3963
739.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2447
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3526
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2215
2.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
12434
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (Q)
|
86% |
3735
300.2 IPS |
|
|
Face Detection (SP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
5828
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4528
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1350
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9607
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8174
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5332
6.85 IPS |
|
|
Style Transfer (Q)
|
98% |
13046
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1559
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2815
104.2 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.1 IPS |
|
|
Text Classification (Q)
|
97% |
1395
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (Q)
|
65% |
1852
37.2 IPS |
