walmart 100135794
Geekbench AI Score
92
Single Precision Score
131
Half Precision Score
125
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 08 2024 07:24 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT8786V/N |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | walmart 100135794 |
| Model ID | walmart 100135794 |
| Motherboard | tb8786p1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT8786V/N |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
68
12.7 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
99% |
102
19.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
86
1.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
137
2.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
127
2.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
53
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
77
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
77
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
54
4.25 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.04 IPS |
|
|
Object Detection (Q)
|
83% |
85
6.92 IPS |
|
|
Face Detection (SP)
|
100% |
208
2.47 IPS |
|
|
Face Detection (HP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (Q)
|
97% |
286
3.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
111
0.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
172
1.32 IPS |
|
|
Depth Estimation (Q)
|
62% |
130
1.23 IPS |
|
|
Style Transfer (SP)
|
100% |
221
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
355
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
351
0.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
96
3.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
95
3.54 IPS |
|
|
Text Classification (SP)
|
100% |
69
92.3 IPS |
|
|
Text Classification (HP)
|
100% |
69
92.1 IPS |
|
|
Text Classification (Q)
|
91% |
102
137.5 IPS |
|
|
Machine Translation (SP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (HP)
|
100% |
120
2.08 IPS |
|
|
Machine Translation (Q)
|
57% |
87
2.13 IPS |
