HP HP ENVY x360 Convertible 15m-bp1xx
Geekbench AI Score
889
Single Precision Score
471
Half Precision Score
1379
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Allen_Bell |
| Upload Date | October 16 2025 11:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY x360 Convertible 15m-bp1xx |
| Motherboard | HP 83C8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
96% |
1069
199.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
1032
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1204
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1125
1.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
2701
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
58% |
780
85.2 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (Q)
|
96% |
2157
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1705
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
2451
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3439
4.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2573
3.31 IPS |
|
|
Style Transfer (Q)
|
87% |
3563
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
510
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1049
38.9 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.8 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.2 IPS |
|
|
Text Classification (Q)
|
97% |
566
758.7 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (Q)
|
68% |
958
18.5 IPS |
