HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench AI Score
3408
Single Precision Score
1329
Half Precision Score
2679
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Neredera |
| Upload Date | February 20 2025 11:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx |
| Motherboard | HP 8C15 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (HP)
|
0% |
0
809.0 IPS |
|
|
Image Classification (Q)
|
100% |
1312
244.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7460
120.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1444
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14488
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20794
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12824
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
362.6 IPS |
|
|
Object Detection (Q)
|
86% |
1179
94.8 IPS |
|
|
Face Detection (SP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
9588
113.9 IPS |
|
|
Face Detection (Q)
|
97% |
1276
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7987
61.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
21254
164.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
6573
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44192
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66368
85.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33302
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7624
281.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9709
358.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5190
192.2 IPS |
|
|
Text Classification (SP)
|
86% |
783
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
568
758.4 IPS |
|
|
Text Classification (Q)
|
84% |
580
786.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (Q)
|
70% |
793
14.9 IPS |
