walmart 100135920
Geekbench AI Score
311
Single Precision Score
308
Half Precision Score
563
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 12:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8786V/N |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | walmart 100135920 |
| Model ID | walmart 100135920 |
| 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 | 2.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
100% |
413
76.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
590
9.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
700
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
1123
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
392
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
396
4.70 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (Q)
|
95% |
970
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
499
3.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
487
3.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
986
9.03 IPS |
|
|
Style Transfer (SP)
|
89% |
1334
1.73 IPS |
|
|
Style Transfer (HP)
|
89% |
1310
1.70 IPS |
|
|
Style Transfer (Q)
|
98% |
2405
3.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
601
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
155
206.6 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.0 IPS |
|
|
Text Classification (Q)
|
88% |
191
257.3 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (HP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (Q)
|
50% |
113
4.01 IPS |
