HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
4633
Single Precision Score
6383
Half Precision Score
9664
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:18 AM |
| 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% |
2734
508.5 IPS |
|
|
Image Classification (HP)
|
100% |
4497
836.3 IPS |
|
|
Image Classification (Q)
|
99% |
5871
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4065
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6470
104.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7116
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11245
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
8394
9.79 IPS |
|
|
Pose Estimation (Q)
|
97% |
33826
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
2709
214.9 IPS |
|
|
Object Detection (HP)
|
100% |
3835
304.2 IPS |
|
|
Object Detection (Q)
|
90% |
6156
492.2 IPS |
|
|
Face Detection (SP)
|
100% |
5762
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
10269
122.0 IPS |
|
|
Face Detection (Q)
|
100% |
15092
179.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10131
78.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
15383
118.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
19739
153.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28521
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37297
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
75398
97.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4589
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7385
272.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13427
497.2 IPS |
|
|
Text Classification (SP)
|
71% |
1353
1.96 KIPS |
|
|
Text Classification (HP)
|
71% |
1525
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
1475
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1808
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1836
31.6 IPS |
