HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
3127
Single Precision Score
1218
Half Precision Score
5919
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 11:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2567
477.5 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
4825
900.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3293
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5304
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
18686
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.8 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
5506
442.5 IPS |
|
|
Face Detection (SP)
|
100% |
5682
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
8523
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6785
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1568
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13712
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10360
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7712
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
17518
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3961
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.4 IPS |
|
|
Text Classification (Q)
|
97% |
1479
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2693
54.1 IPS |
