HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
2901
Single Precision Score
3122
Half Precision Score
1774
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1040
193.5 IPS |
|
|
Image Classification (HP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (Q)
|
99% |
922
172.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1410
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11494
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13139
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
6227
7.30 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
98% |
1227
97.6 IPS |
|
|
Object Detection (Q)
|
89% |
1029
82.3 IPS |
|
|
Face Detection (SP)
|
100% |
2296
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
1562
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5844
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6635
51.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
4072
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26118
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33211
42.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16688
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3547
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1571
58.2 IPS |
|
|
Text Classification (SP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.5 IPS |
|
|
Text Classification (Q)
|
97% |
538
720.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (Q)
|
60% |
415
9.25 IPS |
