HP HP EliteBook 860 16 inch G9 Notebook PC
Geekbench AI Score
4557
Single Precision Score
6381
Half Precision Score
10016
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 01:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
2792
519.3 IPS |
|
|
Image Classification (HP)
|
100% |
4340
807.0 IPS |
|
|
Image Classification (Q)
|
99% |
6245
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4100
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7005
113.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8991
145.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10646
12.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
7952
9.28 IPS |
|
|
Pose Estimation (Q)
|
97% |
32669
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
2833
224.7 IPS |
|
|
Object Detection (HP)
|
100% |
3966
314.6 IPS |
|
|
Object Detection (Q)
|
90% |
6520
521.3 IPS |
|
|
Face Detection (SP)
|
100% |
5949
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
10499
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
16047
190.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9422
72.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
15241
117.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
20029
155.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26513
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40136
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
72643
93.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6888
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13201
488.9 IPS |
|
|
Text Classification (SP)
|
71% |
1325
1.92 KIPS |
|
|
Text Classification (HP)
|
71% |
1456
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
1526
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1815
31.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1808
31.1 IPS |
