HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
4662
Single Precision Score
6484
Half Precision Score
9814
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TheDogDR |
| Upload Date | December 13 2024 12:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 16-f2xxx |
| Motherboard | HP 891E |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2846
529.2 IPS |
|
|
Image Classification (HP)
|
100% |
4803
893.1 IPS |
|
|
Image Classification (Q)
|
99% |
6018
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4168
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6577
106.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7547
122.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11312
13.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
8406
9.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
33877
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
2748
218.0 IPS |
|
|
Object Detection (HP)
|
100% |
3911
310.2 IPS |
|
|
Object Detection (Q)
|
90% |
6360
508.5 IPS |
|
|
Face Detection (SP)
|
100% |
5987
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
10517
125.0 IPS |
|
|
Face Detection (Q)
|
100% |
15518
184.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10325
79.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
15650
121.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
20286
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27978
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37607
48.3 IPS |
|
|
Style Transfer (Q)
|
98% |
75414
97.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4626
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7378
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13203
489.0 IPS |
|
|
Text Classification (SP)
|
71% |
1261
1.82 KIPS |
|
|
Text Classification (HP)
|
71% |
1510
2.18 KIPS |
|
|
Text Classification (Q)
|
92% |
1490
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1835
31.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1815
31.3 IPS |
