Infinix GT 30 Pro
Geekbench AI Score
1584
Single Precision Score
1814
Half Precision Score
2740
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 22 2026 05:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Mediatek Dimensity 8350 Ultimate |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Infinix GT 30 Pro |
| Model ID | INFINIX Infinix X6873 |
| Motherboard | Infinix-X6873 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (Q)
|
99% |
1993
371.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2134
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (HP)
|
92% |
4157
4.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
5168
6.06 IPS |
|
|
Object Detection (SP)
|
98% |
1044
83.1 IPS |
|
|
Object Detection (HP)
|
97% |
865
68.9 IPS |
|
|
Object Detection (Q)
|
85% |
1630
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2610
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
3880
46.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2445
18.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3837
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4841
44.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6544
8.50 IPS |
|
|
Style Transfer (HP)
|
88% |
4914
6.38 IPS |
|
|
Style Transfer (Q)
|
98% |
11457
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1823
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2638
97.8 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.6 IPS |
|
|
Text Classification (HP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (Q)
|
93% |
1190
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1427
24.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1363
23.6 IPS |
|
|
Machine Translation (Q)
|
55% |
989
26.5 IPS |
