Kozen H2031
Geekbench AI Score
998
Single Precision Score
1203
Half Precision Score
1244
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 10:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Kozen H2031 |
| Model ID | Kozen H2031 |
| Motherboard | h2031_public_combo |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
646
120.1 IPS |
|
|
Image Classification (HP)
|
100% |
661
123.0 IPS |
|
|
Image Classification (Q)
|
99% |
653
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1653
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1208
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1185
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
83% |
884
71.5 IPS |
|
|
Face Detection (SP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2256
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
2146
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1597
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2170
16.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1776
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4259
5.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5534
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
5522
7.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1106
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.0 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.4 IPS |
|
|
Text Classification (Q)
|
91% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
449
11.0 IPS |
