HP HP EliteBook 860 16 inch G11 Notebook PC
Geekbench AI Score
5775
Single Precision Score
8539
Half Precision Score
12413
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dehnhaide |
| Upload Date | September 18 2025 06:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (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 155H |
| 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% |
4308
801.2 IPS |
|
|
Image Classification (HP)
|
100% |
6040
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
6584
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9898
160.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14311
232.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16827
19.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
15820
18.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
55556
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
4050
321.3 IPS |
|
|
Object Detection (HP)
|
100% |
6367
505.0 IPS |
|
|
Object Detection (Q)
|
88% |
8633
691.8 IPS |
|
|
Face Detection (SP)
|
100% |
7551
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
14772
175.5 IPS |
|
|
Face Detection (Q)
|
100% |
22764
270.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14883
114.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
24547
189.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
27048
210.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35864
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46491
59.8 IPS |
|
|
Style Transfer (Q)
|
98% |
125385
161.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6429
237.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10384
383.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15120
560.0 IPS |
|
|
Text Classification (SP)
|
71% |
1069
1.55 KIPS |
|
|
Text Classification (HP)
|
71% |
1575
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
1340
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1242
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1229
21.2 IPS |
