HP HP EliteBook 630 13.3 inch G11 Notebook PC
Geekbench AI Score
1357
Single Precision Score
638
Half Precision Score
2176
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | snagata09 |
| Upload Date | October 31 2024 02:45 PM |
| Views | 1 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.8 IPS |
|
|
Image Classification (Q)
|
99% |
1421
265.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
1901
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1395
1.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
8632
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
854
67.8 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
88% |
887
71.1 IPS |
|
|
Face Detection (SP)
|
100% |
1768
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
766
9.11 IPS |
|
|
Face Detection (Q)
|
97% |
2328
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2607
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
914
7.04 IPS |
|
|
Depth Estimation (Q)
|
77% |
3791
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5458
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3168
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
10103
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
777
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1478
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
354
471.8 IPS |
|
|
Text Classification (Q)
|
97% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
60% |
1104
24.6 IPS |
