HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench AI Score
1767
Single Precision Score
1785
Half Precision Score
1143
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | hironeko |
| Upload Date | February 22 2025 08:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx |
| Motherboard | HP 8C15 |
| 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 | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
1335
248.3 IPS |
|
|
Image Classification (Q)
|
99% |
902
168.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
932
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2387
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2271
2.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
2670
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
100% |
1235
97.9 IPS |
|
|
Object Detection (Q)
|
85% |
831
66.9 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
1929
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2161
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2028
15.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1456
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3303
4.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3301
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
4802
6.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1055
39.1 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
341
458.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
58% |
423
9.93 IPS |
