Hewlett-Packard HP ENVY dv7 Notebook PC
Geekbench AI Score
443
Single Precision Score
256
Half Precision Score
383
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | StingerYar |
| Upload Date | May 26 2025 04:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3210M |
| System Information | |
|---|---|
| Operating System | Windows 10 Enterprise N LTSC (64-bit) |
| Model | Hewlett-Packard HP ENVY dv7 Notebook PC |
| Motherboard | Hewlett-Packard 181D |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3210M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.7 IPS |
|
|
Image Classification (Q)
|
96% |
280
52.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
97% |
242
3.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
526
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
388
0.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
520
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
58% |
186
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
804
9.55 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
96% |
668
7.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
686
5.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
407
3.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
644
5.12 IPS |
|
|
Style Transfer (SP)
|
100% |
1335
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
977
1.26 IPS |
|
|
Style Transfer (Q)
|
87% |
1098
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
248
9.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
290
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.9 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.5 IPS |
|
|
Text Classification (Q)
|
97% |
182
244.4 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (Q)
|
68% |
424
8.19 IPS |
