HP HP OmniBook 7 Flip Laptop 16-au0xxx
Geekbench AI Score
7058
Single Precision Score
12666
Half Precision Score
4772
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 20 2025 03:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP OmniBook 7 Flip Laptop 16-au0xxx |
| Motherboard | HP 8DA0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3029
563.3 IPS |
|
|
Image Classification (HP)
|
100% |
4957
921.8 IPS |
|
|
Image Classification (Q)
|
100% |
2395
445.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6755
109.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12362
200.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4943
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20530
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
95355
111.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17123
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
4505
357.3 IPS |
|
|
Object Detection (HP)
|
100% |
7020
556.9 IPS |
|
|
Object Detection (Q)
|
88% |
3703
297.0 IPS |
|
|
Face Detection (SP)
|
100% |
9245
109.9 IPS |
|
|
Face Detection (HP)
|
100% |
15858
188.4 IPS |
|
|
Face Detection (Q)
|
97% |
6716
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20419
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36999
285.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12354
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51126
65.7 IPS |
|
|
Style Transfer (HP)
|
100% |
158837
204.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36971
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7447
275.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14275
527.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4877
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
443
593.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2320
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1233
23.1 IPS |
