HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
6971
Single Precision Score
10304
Half Precision Score
14592
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ib1345 |
| Upload Date | August 30 2024 05:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Transcend Gaming Laptop 14-fb0xxx |
| Motherboard | HP 8C58 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4517
840.0 IPS |
|
|
Image Classification (HP)
|
100% |
6154
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
6945
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4770
77.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10546
171.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11479
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16944
19.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
15414
18.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
45736
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
4442
352.4 IPS |
|
|
Object Detection (HP)
|
100% |
6743
534.8 IPS |
|
|
Object Detection (Q)
|
88% |
9126
731.3 IPS |
|
|
Face Detection (SP)
|
100% |
9982
118.6 IPS |
|
|
Face Detection (HP)
|
100% |
19042
226.3 IPS |
|
|
Face Detection (Q)
|
100% |
27484
326.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15224
117.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27327
211.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
32787
260.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43577
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52940
68.1 IPS |
|
|
Style Transfer (Q)
|
98% |
119636
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11512
425.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17294
640.5 IPS |
|
|
Text Classification (SP)
|
71% |
1596
2.31 KIPS |
|
|
Text Classification (HP)
|
71% |
2138
3.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2203
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2951
51.0 IPS |
|
|
Machine Translation (Q)
|
89% |
3203
55.7 IPS |
