HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench AI Score
6889
Single Precision Score
10435
Half Precision Score
14462
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | October 09 2024 03:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4497
836.3 IPS |
|
|
Image Classification (HP)
|
100% |
6379
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
6945
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3723
60.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10414
168.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13489
218.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19171
22.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
17407
20.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
47012
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
4650
368.9 IPS |
|
|
Object Detection (HP)
|
100% |
6940
550.5 IPS |
|
|
Object Detection (Q)
|
88% |
9451
757.4 IPS |
|
|
Face Detection (SP)
|
100% |
10072
119.7 IPS |
|
|
Face Detection (HP)
|
100% |
19260
228.8 IPS |
|
|
Face Detection (Q)
|
100% |
27741
329.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17093
131.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
29113
225.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
29045
225.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37722
48.5 IPS |
|
|
Style Transfer (HP)
|
100% |
47122
60.6 IPS |
|
|
Style Transfer (Q)
|
98% |
121879
157.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7119
262.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11944
441.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16508
611.3 IPS |
|
|
Text Classification (SP)
|
71% |
1572
2.27 KIPS |
|
|
Text Classification (HP)
|
71% |
2043
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2056
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2959
51.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2885
49.7 IPS |
