HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
2460
Single Precision Score
2483
Half Precision Score
6086
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | June 06 2025 05:23 PM |
| Views | 7 |
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 | 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% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
1347
250.4 IPS |
|
|
Image Classification (Q)
|
100% |
4153
772.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3964
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3457
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3411
3.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
11589
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (Q)
|
88% |
4037
323.6 IPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
7733
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3512
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4065
31.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
8303
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9561
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9177
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34164
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6451
238.9 IPS |
|
|
Text Classification (SP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2748
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2329
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2331
40.2 IPS |
