Hammer Hammer_Construction_2_Thermal_5G
Geekbench AI Score
513
Single Precision Score
503
Half Precision Score
980
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 04:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
100% |
687
127.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
745
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
1711
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
653
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
744
8.84 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
95% |
1554
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
793
6.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1567
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1787
2.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1830
2.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3892
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
935
34.6 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.7 IPS |
|
|
Text Classification (HP)
|
100% |
281
374.5 IPS |
|
|
Text Classification (Q)
|
88% |
481
649.2 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
338
12.0 IPS |
