HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
2281
Single Precision Score
1013
Half Precision Score
3001
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| 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% |
1478
274.8 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
99% |
2868
534.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2254
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4996
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
14425
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (Q)
|
88% |
1466
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
2027
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
2878
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4442
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1355
10.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5379
43.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9345
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6517
8.38 IPS |
|
|
Style Transfer (Q)
|
98% |
12275
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2928
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
476
635.8 IPS |
|
|
Text Classification (Q)
|
97% |
472
632.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (Q)
|
60% |
1652
36.8 IPS |
