HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
3499
Single Precision Score
3339
Half Precision Score
9878
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TheDogDR |
| Upload Date | September 06 2025 04:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | HP HP Spectre x360 2-in-1 Laptop 16-f2xxx |
| Motherboard | HP 891E |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2533
471.0 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.3 IPS |
|
|
Image Classification (Q)
|
100% |
6657
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3129
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6249
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4425
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4286
5.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
16127
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.5 IPS |
|
|
Object Detection (HP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (Q)
|
88% |
6295
504.6 IPS |
|
|
Face Detection (SP)
|
100% |
4725
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
13658
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3607
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3934
30.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
16334
127.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8697
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8806
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
50039
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2375
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10229
378.8 IPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (Q)
|
92% |
4878
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3763
64.8 IPS |
