ZTE ISE-T200C
Geekbench AI Score
553
Single Precision Score
531
Half Precision Score
1124
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 12:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | ZTE ISE-T200C |
| Model ID | ZTE ISE-T200C |
| Motherboard | ums9620_2h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.18 GHz |
| Cluster 1 | 4 Cores @ 2.18 GHz |
| Cluster 2 | 3 Cores @ 2.30 GHz |
| Cluster 3 | 1 Core @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 7.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (Q)
|
100% |
1032
191.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1102
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1253
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1404
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (Q)
|
83% |
639
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (Q)
|
95% |
2010
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
994
7.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
934
7.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1399
12.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1535
1.99 IPS |
|
|
Style Transfer (HP)
|
89% |
1672
2.17 IPS |
|
|
Style Transfer (Q)
|
98% |
4252
5.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1173
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
417
557.2 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.9 IPS |
|
|
Text Classification (Q)
|
88% |
731
985.6 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
50% |
309
11.0 IPS |
