HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
1964
Single Precision Score
834
Half Precision Score
3254
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:00 PM |
| Views | 2 |
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 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% |
1160
215.7 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
99% |
2014
375.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2462
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3626
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2136
2.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
13208
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
88% |
1302
104.4 IPS |
|
|
Face Detection (SP)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
2985
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4181
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1326
10.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5831
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8407
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5577
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
12811
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2815
104.2 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
439
585.3 IPS |
|
|
Text Classification (Q)
|
97% |
1405
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1774
39.6 IPS |
