HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
2861
Single Precision Score
2893
Half Precision Score
6943
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 12:14 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 860 16 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1651
307.0 IPS |
|
|
Image Classification (HP)
|
100% |
1648
306.5 IPS |
|
|
Image Classification (Q)
|
100% |
4687
871.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2615
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4966
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4099
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3539
4.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
12426
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (Q)
|
88% |
4288
343.7 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4598
54.6 IPS |
|
|
Face Detection (Q)
|
100% |
9952
118.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4417
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4362
33.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11780
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10480
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10596
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36449
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2114
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7206
266.9 IPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
3291
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2073
35.7 IPS |
