HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
14969
Single Precision Score
24352
Half Precision Score
11680
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sparklep0ny666 |
| Upload Date | December 20 2024 12:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
5931
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
9560
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
5411
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10746
174.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13994
226.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9514
154.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
78348
91.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
224247
261.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
69601
81.5 IPS |
|
|
Object Detection (SP)
|
100% |
7212
572.0 IPS |
|
|
Object Detection (HP)
|
100% |
11956
948.3 IPS |
|
|
Object Detection (Q)
|
85% |
6370
512.8 IPS |
|
|
Face Detection (SP)
|
100% |
18898
224.6 IPS |
|
|
Face Detection (HP)
|
100% |
28941
343.9 IPS |
|
|
Face Detection (Q)
|
97% |
16858
201.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33462
257.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
63115
487.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
26982
216.7 IPS |
|
|
Style Transfer (SP)
|
100% |
134348
172.7 IPS |
|
|
Style Transfer (HP)
|
100% |
328855
422.7 IPS |
|
|
Style Transfer (Q)
|
98% |
117102
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26359
973.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37004
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19324
715.5 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
2955
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1393
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3114
53.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1445
27.1 IPS |
