HP HP Elite Dragonfly G2 Notebook PC
Geekbench AI Score
1272
Single Precision Score
650
Half Precision Score
2208
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dipsan |
| Upload Date | October 21 2024 11:25 AM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP Elite Dragonfly G2 Notebook PC |
| Motherboard | HP 8716 |
| Power Plan | HP Optimized (Modern Standby) |
| 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% |
905
168.4 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.7 IPS |
|
|
Image Classification (Q)
|
99% |
2166
403.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
514
8.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1424
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
6346
7.44 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
88% |
981
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
746
8.87 IPS |
|
|
Face Detection (Q)
|
97% |
2821
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2094
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
827
6.37 IPS |
|
|
Depth Estimation (Q)
|
77% |
4042
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3939
5.06 IPS |
|
|
Style Transfer (HP)
|
100% |
3095
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
10595
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
895
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2180
80.7 IPS |
|
|
Text Classification (SP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
484
646.1 IPS |
|
|
Text Classification (Q)
|
97% |
442
592.1 IPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
60% |
1236
27.6 IPS |
