HP HP ENVY Laptop 14-eb0xxx
Geekbench AI Score
1732
Single Precision Score
918
Half Precision Score
4045
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fathur |
| Upload Date | November 17 2025 10:57 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP ENVY Laptop 14-eb0xxx |
| Motherboard | HP 8815 |
| 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 | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1274
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
376
70.0 IPS |
|
|
Image Classification (Q)
|
99% |
3296
614.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
3729
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1888
2.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
8303
9.73 IPS |
|
|
Object Detection (SP)
|
100% |
1255
99.5 IPS |
|
|
Object Detection (HP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (Q)
|
86% |
3382
271.8 IPS |
|
|
Face Detection (SP)
|
100% |
2411
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
984
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
5358
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3257
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1272
9.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
7271
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5783
7.43 IPS |
|
|
Style Transfer (HP)
|
100% |
4498
5.78 IPS |
|
|
Style Transfer (Q)
|
98% |
10664
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3393
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
1164
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
710
948.1 IPS |
|
|
Text Classification (Q)
|
97% |
1262
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1911
38.4 IPS |
