HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
6945
Single Precision Score
10296
Half Precision Score
15607
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | peekungdev |
| Upload Date | August 16 2024 09:40 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP EliteBook 860 16 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| Power Plan | HP Optimized (Modern Standby) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4663
867.2 IPS |
|
|
Image Classification (HP)
|
100% |
6556
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
7260
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9321
151.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14637
237.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20404
23.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
19480
22.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63526
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
4524
358.8 IPS |
|
|
Object Detection (HP)
|
100% |
6890
546.5 IPS |
|
|
Object Detection (Q)
|
88% |
9641
772.6 IPS |
|
|
Face Detection (SP)
|
100% |
7393
87.8 IPS |
|
|
Face Detection (HP)
|
100% |
14177
168.4 IPS |
|
|
Face Detection (Q)
|
100% |
26221
311.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15615
120.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27041
208.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
39520
313.7 IPS |
|
|
Style Transfer (SP)
|
100% |
46727
60.1 IPS |
|
|
Style Transfer (HP)
|
100% |
60444
77.7 IPS |
|
|
Style Transfer (Q)
|
98% |
141803
182.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8025
296.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13069
482.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19689
729.2 IPS |
|
|
Text Classification (SP)
|
71% |
1758
2.54 KIPS |
|
|
Text Classification (HP)
|
71% |
2313
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1861
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2332
40.3 IPS |
|
|
Machine Translation (Q)
|
89% |
2448
42.5 IPS |
