Hewlett-Packard HP Pavilion dv7 Notebook PC
Geekbench AI Score
23
Single Precision Score
23
Half Precision Score
17
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | November 27 2025 03:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-3610QM |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Hewlett-Packard HP Pavilion dv7 Notebook PC |
| Motherboard | Hewlett-Packard 181D |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3610QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13
2.49 IPS |
|
|
Image Classification (HP)
|
100% |
13
2.49 IPS |
|
|
Image Classification (Q)
|
97% |
10
1.94 IPS |
|
|
Image Segmentation (SP)
|
100% |
18
0.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
18
0.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
14
0.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
21
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
21
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
17
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
13
1.03 IPS |
|
|
Object Detection (HP)
|
100% |
13
1.03 IPS |
|
|
Object Detection (Q)
|
87% |
10
0.80 IPS |
|
|
Face Detection (SP)
|
100% |
43
0.51 IPS |
|
|
Face Detection (HP)
|
100% |
43
0.51 IPS |
|
|
Face Detection (Q)
|
97% |
33
0.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
31
0.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
31
0.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
20
0.19 IPS |
|
|
Style Transfer (SP)
|
100% |
65
0.08 IPS |
|
|
Style Transfer (HP)
|
100% |
65
0.08 IPS |
|
|
Style Transfer (Q)
|
98% |
51
0.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14
0.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14
0.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11
0.40 IPS |
|
|
Text Classification (SP)
|
100% |
18
23.5 IPS |
|
|
Text Classification (HP)
|
100% |
18
23.5 IPS |
|
|
Text Classification (Q)
|
91% |
13
17.4 IPS |
|
|
Machine Translation (SP)
|
100% |
34
0.58 IPS |
|
|
Machine Translation (HP)
|
100% |
34
0.58 IPS |
|
|
Machine Translation (Q)
|
58% |
18
0.42 IPS |
