HP OMEN 35L GT16-0xxx
Geekbench AI Score
5599
Single Precision Score
5852
Half Precision Score
14512
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sahinkilinc |
| Upload Date | October 23 2024 08:07 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF1 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4147
771.3 IPS |
|
|
Image Classification (HP)
|
100% |
4171
775.6 IPS |
|
|
Image Classification (Q)
|
100% |
8999
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4714
76.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4531
73.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8704
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8507
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
8361
9.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
31275
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3883
308.0 IPS |
|
|
Object Detection (HP)
|
100% |
3846
305.1 IPS |
|
|
Object Detection (Q)
|
88% |
9415
754.7 IPS |
|
|
Face Detection (SP)
|
100% |
7514
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
7516
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
23564
280.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10460
80.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10590
81.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
26800
208.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15056
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25219
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
84749
109.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5272
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5285
195.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16348
605.4 IPS |
|
|
Text Classification (SP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
4359
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4660
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4676
80.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4712
81.2 IPS |
