HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
4295
Single Precision Score
6904
Half Precision Score
11451
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | June 06 2025 05:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2930
544.8 IPS |
|
|
Image Classification (HP)
|
100% |
4882
907.9 IPS |
|
|
Image Classification (Q)
|
100% |
6790
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5894
95.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9327
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10872
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
10164
11.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
32741
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
4307
341.6 IPS |
|
|
Object Detection (Q)
|
88% |
8269
662.6 IPS |
|
|
Face Detection (SP)
|
100% |
4399
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
9388
111.5 IPS |
|
|
Face Detection (Q)
|
100% |
17374
206.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10187
78.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
17341
134.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
22523
175.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24912
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35624
45.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75954
97.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6705
247.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13144
486.8 IPS |
|
|
Text Classification (SP)
|
71% |
1375
1.99 KIPS |
|
|
Text Classification (HP)
|
71% |
2006
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
2313
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2505
43.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2503
43.1 IPS |
