GIGABYTE P17FV7
Geekbench AI Score
1314
Single Precision Score
702
Half Precision Score
1721
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | digerati518 |
| Upload Date | November 14 2025 04:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | GIGABYTE P17FV7 |
| Motherboard | GIGABYTE P17FV7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (Q)
|
96% |
1446
270.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1222
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1744
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1455
1.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
3204
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
918
72.9 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (Q)
|
58% |
994
108.6 IPS |
|
|
Face Detection (SP)
|
100% |
1961
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
767
9.12 IPS |
|
|
Face Detection (Q)
|
96% |
3134
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2280
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1005
7.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
3457
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4598
5.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3405
4.38 IPS |
|
|
Style Transfer (Q)
|
87% |
6130
7.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1613
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.8 IPS |
|
|
Text Classification (Q)
|
97% |
306
409.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
68% |
1242
24.0 IPS |
