HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench AI Score
2505
Single Precision Score
1029
Half Precision Score
1986
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | October 09 2024 03:05 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
944
175.5 IPS |
|
|
Image Classification (HP)
|
0% |
0
496.3 IPS |
|
|
Image Classification (Q)
|
99% |
853
159.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6430
104.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1246
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12309
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17898
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
10980
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
248.4 IPS |
|
|
Object Detection (Q)
|
89% |
875
70.0 IPS |
|
|
Face Detection (SP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
6190
73.5 IPS |
|
|
Face Detection (Q)
|
97% |
1108
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5941
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
15781
122.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
4911
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35546
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51807
66.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27194
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5300
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6634
244.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3839
142.2 IPS |
|
|
Text Classification (SP)
|
86% |
427
577.8 IPS |
|
|
Text Classification (HP)
|
99% |
349
466.4 IPS |
|
|
Text Classification (Q)
|
83% |
318
433.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
60% |
518
11.6 IPS |
