Notebook V54x_6x_TU
Geekbench AI Score
2846
Single Precision Score
9401
Half Precision Score
14283
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 08:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Notebook V54x_6x_TU |
| Motherboard | Notebook V54x_6x_TU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
6582
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
8782
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3834
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3728
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
33138
38.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
72117
84.5 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
6013
476.9 IPS |
|
|
Object Detection (Q)
|
87% |
9796
786.2 IPS |
|
|
Face Detection (SP)
|
100% |
4872
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
16242
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
30072
357.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4436
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17903
137.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33292
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11304
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49859
64.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91270
117.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13853
511.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21429
793.6 IPS |
|
|
Text Classification (SP)
|
100% |
1716
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1791
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1977
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4154
71.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4237
73.0 IPS |
