MiTAC MioWORK F840
Geekbench AI Score
31
Single Precision Score
93
Half Precision Score
89
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 27 2025 12:21 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | MiTAC MioWORK F840 |
| Model ID | MiTAC MioWORK F840 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
28
5.16 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
97% |
59
10.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
27
0.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
91
1.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
82
1.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
93
0.11 IPS |
|
|
Object Detection (SP)
|
100% |
27
2.16 IPS |
|
|
Object Detection (HP)
|
100% |
46
3.63 IPS |
|
|
Object Detection (Q)
|
89% |
45
3.62 IPS |
|
|
Face Detection (SP)
|
100% |
69
0.81 IPS |
|
|
Face Detection (HP)
|
100% |
169
2.00 IPS |
|
|
Face Detection (Q)
|
97% |
175
2.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
64
0.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
132
1.02 IPS |
|
|
Depth Estimation (Q)
|
62% |
108
1.02 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
244
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
243
0.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31
1.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65
2.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
64
2.37 IPS |
|
|
Text Classification (SP)
|
100% |
59
78.6 IPS |
|
|
Text Classification (HP)
|
100% |
59
78.9 IPS |
|
|
Text Classification (Q)
|
91% |
76
101.7 IPS |
|
|
Machine Translation (SP)
|
100% |
105
1.81 IPS |
|
|
Machine Translation (HP)
|
100% |
106
1.82 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.81 IPS |
