HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
5798
Single Precision Score
5769
Half Precision Score
8203
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | peekungdev |
| Upload Date | August 16 2024 09:29 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4143
770.4 IPS |
|
|
Image Classification (HP)
|
100% |
4145
770.8 IPS |
|
|
Image Classification (Q)
|
56% |
3567
997.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2296
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21024
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20695
24.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
45715
53.6 IPS |
|
|
Object Detection (SP)
|
98% |
3382
269.1 IPS |
|
|
Object Detection (HP)
|
100% |
3443
273.1 IPS |
|
|
Object Detection (Q)
|
87% |
5473
439.3 IPS |
|
|
Face Detection (SP)
|
100% |
9497
112.8 IPS |
|
|
Face Detection (HP)
|
100% |
9048
107.5 IPS |
|
|
Face Detection (Q)
|
100% |
14107
167.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
11896
91.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12066
93.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
22213
176.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33338
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34054
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
61561
79.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8506
314.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8081
298.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13887
514.3 IPS |
|
|
Text Classification (SP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
1424
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (Q)
|
90% |
1766
30.7 IPS |
