HP HP OmniBook 7 Laptop 16-bh0xxx
Geekbench AI Score
4718
Single Precision Score
1769
Half Precision Score
8636
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ultrafine |
| Upload Date | March 07 2026 09:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra X7 358H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | HP HP OmniBook 7 Laptop 16-bh0xxx |
| Motherboard | HP 8E60 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X7 358H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3762
699.5 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
99% |
6866
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11551
187.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8703
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6239
7.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
29950
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
3741
296.7 IPS |
|
|
Object Detection (HP)
|
100% |
903
71.7 IPS |
|
|
Object Detection (Q)
|
86% |
8281
665.5 IPS |
|
|
Face Detection (SP)
|
100% |
11162
132.6 IPS |
|
|
Face Detection (HP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
10572
126.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10649
82.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2929
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19238
153.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19348
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15415
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24460
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5652
209.3 IPS |
|
|
Text Classification (SP)
|
100% |
1562
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
650
867.3 IPS |
|
|
Text Classification (Q)
|
97% |
1122
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3720
74.7 IPS |
