HP OMEN 35L GT16-0xxx
Geekbench AI Score
26484
Single Precision Score
40311
Half Precision Score
20006
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 13 2024 06:25 PM |
| Views | 42 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF1 |
| Power Plan | Balanced |
| 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% |
11178
2.08 KIPS |
|
|
Image Classification (HP)
|
99% |
16429
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
9387
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16644
269.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20708
335.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15335
249.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
158553
185.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
401934
469.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
145352
170.2 IPS |
|
|
Object Detection (SP)
|
100% |
12865
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
19981
1.58 KIPS |
|
|
Object Detection (Q)
|
89% |
10259
821.2 IPS |
|
|
Face Detection (SP)
|
100% |
31834
378.3 IPS |
|
|
Face Detection (HP)
|
100% |
43386
515.5 IPS |
|
|
Face Detection (Q)
|
97% |
26861
320.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
61157
471.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111134
858.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
47946
386.3 IPS |
|
|
Style Transfer (SP)
|
100% |
296029
380.5 IPS |
|
|
Style Transfer (HP)
|
100% |
700999
901.1 IPS |
|
|
Style Transfer (Q)
|
98% |
249410
321.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48069
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61480
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34390
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
4479
5.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2172
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4456
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4456
76.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1995
44.5 IPS |
