HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
4948
Single Precision Score
7484
Half Precision Score
11500
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:51 PM |
| Views | 2 |
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 | 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% |
3250
604.3 IPS |
|
|
Image Classification (HP)
|
100% |
5124
952.9 IPS |
|
|
Image Classification (Q)
|
100% |
6807
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3406
55.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7035
114.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9866
159.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11064
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
9999
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31580
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
2888
229.1 IPS |
|
|
Object Detection (HP)
|
100% |
4630
367.3 IPS |
|
|
Object Detection (Q)
|
88% |
7567
606.4 IPS |
|
|
Face Detection (SP)
|
100% |
6692
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
13452
159.8 IPS |
|
|
Face Detection (Q)
|
100% |
20744
246.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10597
81.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
16987
131.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
22799
177.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26736
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36413
46.8 IPS |
|
|
Style Transfer (Q)
|
98% |
78796
101.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4733
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8323
307.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12982
480.8 IPS |
|
|
Text Classification (SP)
|
71% |
1591
2.30 KIPS |
|
|
Text Classification (HP)
|
71% |
1984
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2179
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1743
30.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2407
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2393
41.2 IPS |
