HP HP EliteBook 860 16 inch G9 Notebook PC
Geekbench AI Score
2583
Single Precision Score
1058
Half Precision Score
4609
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 01:37 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1270P |
| 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% |
1933
359.4 IPS |
|
|
Image Classification (HP)
|
100% |
376
70.0 IPS |
|
|
Image Classification (Q)
|
99% |
3755
700.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2200
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2927
3.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
13927
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
86% |
4096
329.2 IPS |
|
|
Face Detection (SP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
6821
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5559
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1402
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10452
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10238
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7426
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
14705
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3147
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
586
781.7 IPS |
|
|
Text Classification (Q)
|
97% |
1269
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (Q)
|
65% |
2193
44.1 IPS |
