Hammer Hammer_Construction_2_Thermal_5G
Geekbench AI Score
154
Single Precision Score
212
Half Precision Score
211
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 04:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Hammer Hammer_Construction_2_Thermal_5G |
| Model ID | Hammer Hammer_Construction_2_Thermal_5G |
| Motherboard | pri_board |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
99% |
167
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
239
3.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
97
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
116
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
116
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.51 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
83% |
127
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (Q)
|
97% |
431
5.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
187
1.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
243
1.87 IPS |
|
|
Depth Estimation (Q)
|
62% |
197
1.87 IPS |
|
|
Style Transfer (SP)
|
100% |
371
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
524
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
523
0.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
94
3.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
146
5.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
146
5.40 IPS |
|
|
Text Classification (SP)
|
100% |
144
191.8 IPS |
|
|
Text Classification (HP)
|
100% |
143
191.5 IPS |
|
|
Text Classification (Q)
|
91% |
263
354.2 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (Q)
|
57% |
180
4.39 IPS |
