HP HP Spectre x360 Convertible 15t-eb100
Geekbench AI Score
3789
Single Precision Score
5218
Half Precision Score
7897
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 02:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Spectre x360 Convertible 15t-eb100 |
| Motherboard | HP 8811 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2346
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
3432
638.3 IPS |
|
|
Image Classification (Q)
|
99% |
4514
841.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2988
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5075
82.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5723
92.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9745
11.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
7281
8.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
29592
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
3485
276.5 IPS |
|
|
Object Detection (Q)
|
90% |
5125
409.7 IPS |
|
|
Face Detection (SP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8888
105.6 IPS |
|
|
Face Detection (Q)
|
100% |
13894
165.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8667
66.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13957
107.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
18054
140.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23337
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32201
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
64180
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10748
398.0 IPS |
|
|
Text Classification (SP)
|
71% |
978
1.41 KIPS |
|
|
Text Classification (HP)
|
71% |
1141
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1148
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1218
21.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1213
20.9 IPS |
