HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2284
Single Precision Score
2265
Half Precision Score
5937
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 460 16 inch G11 Notebook PC |
| Motherboard | HP 8C84 |
| Power Plan | Gebalanceerd |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
1319
245.2 IPS |
|
|
Image Classification (Q)
|
100% |
3802
707.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3573
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3073
3.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
10994
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (Q)
|
88% |
3753
300.9 IPS |
|
|
Face Detection (SP)
|
100% |
3903
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
8359
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4135
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4053
31.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
9953
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10045
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9969
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31457
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6303
233.4 IPS |
|
|
Text Classification (SP)
|
100% |
551
735.3 IPS |
|
|
Text Classification (HP)
|
100% |
557
742.9 IPS |
|
|
Text Classification (Q)
|
92% |
2795
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2108
36.3 IPS |
