HP HP EliteBook 860 16 inch G9 Notebook PC
Geekbench AI Score
2593
Single Precision Score
2592
Half Precision Score
6485
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 01:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1270P |
| 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% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
1324
246.3 IPS |
|
|
Image Classification (Q)
|
100% |
4136
769.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4035
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3815
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3569
4.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
11715
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (Q)
|
88% |
4466
358.0 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (Q)
|
100% |
9628
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4314
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4401
33.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10940
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10993
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11109
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
34157
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6825
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
3394
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1855
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1808
31.2 IPS |
