HP HP EliteBook 860 16 inch G9 Notebook PC
Geekbench AI Score
2940
Single Precision Score
2997
Half Precision Score
1815
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 01:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 860 16 inch G9 Notebook PC |
| Motherboard | HP 896D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1270P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (Q)
|
100% |
1048
195.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1399
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10950
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12615
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
5841
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.2 IPS |
|
|
Object Detection (HP)
|
98% |
1268
100.9 IPS |
|
|
Object Detection (Q)
|
86% |
1182
95.1 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (Q)
|
97% |
1954
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5712
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6568
50.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3943
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25187
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32546
41.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15394
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3523
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4496
166.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1406
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
351
468.1 IPS |
|
|
Text Classification (Q)
|
97% |
475
636.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
70% |
485
9.09 IPS |
