Hisense Hisense Enigma
Geekbench AI Score
244
Single Precision Score
254
Half Precision Score
431
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 10:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Hisense Hisense Enigma |
| Model ID | Hisense Hisense Enigma |
| Motherboard | HLTE272E |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 2.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
127
23.5 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.7 IPS |
|
|
Image Classification (Q)
|
100% |
404
75.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
480
7.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
568
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
555
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
887
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.38 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.58 IPS |
|
|
Object Detection (Q)
|
83% |
321
25.9 IPS |
|
|
Face Detection (SP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
95% |
744
8.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
373
2.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
424
3.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
830
7.60 IPS |
|
|
Style Transfer (SP)
|
89% |
1117
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1083
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1949
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
467
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
115
152.9 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.8 IPS |
|
|
Text Classification (Q)
|
88% |
98
131.8 IPS |
|
|
Machine Translation (SP)
|
100% |
165
2.85 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.78 IPS |
|
|
Machine Translation (Q)
|
50% |
73
2.60 IPS |
