HP HP OmniBook 7 Laptop 16-bh0xxx
Geekbench AI Score
10284
Single Precision Score
19135
Half Precision Score
7091
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ultrafine |
| Upload Date | March 07 2026 09:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B390 GPU |
| 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% |
4593
854.2 IPS |
|
|
Image Classification (HP)
|
100% |
5181
963.4 IPS |
|
|
Image Classification (Q)
|
100% |
3883
722.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
12415
201.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19714
319.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8836
143.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18886
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
64300
75.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17151
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
6516
516.8 IPS |
|
|
Object Detection (HP)
|
100% |
9549
757.4 IPS |
|
|
Object Detection (Q)
|
87% |
4960
398.1 IPS |
|
|
Face Detection (SP)
|
100% |
15114
179.6 IPS |
|
|
Face Detection (HP)
|
100% |
27061
321.5 IPS |
|
|
Face Detection (Q)
|
97% |
10838
129.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32070
247.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
58761
452.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
21231
169.7 IPS |
|
|
Style Transfer (SP)
|
100% |
84675
108.9 IPS |
|
|
Style Transfer (HP)
|
100% |
301623
387.7 IPS |
|
|
Style Transfer (Q)
|
98% |
65241
84.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11843
437.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22694
838.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8341
308.8 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (Q)
|
97% |
685
918.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1284
24.1 IPS |
