Infinix GT 30 Pro
Geekbench AI Score
1068
Single Precision Score
4349
Half Precision Score
4318
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 01 2026 11:35 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1030
191.6 IPS |
|
|
Image Classification (HP)
|
100% |
4164
774.4 IPS |
|
|
Image Classification (Q)
|
99% |
7489
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4127
66.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1791
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9140
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17562
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
72296
84.7 IPS |
|
|
Object Detection (SP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (HP)
|
100% |
4224
335.0 IPS |
|
|
Object Detection (Q)
|
86% |
4892
393.5 IPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
10429
123.9 IPS |
|
|
Face Detection (Q)
|
97% |
11013
131.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
811
6.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
18567
143.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
30060
285.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2976
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
539
0.69 IPS |
|
|
Style Transfer (Q)
|
30% |
423
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9744
359.8 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6648
968.2 IPS |
|
|
Text Classification (SP)
|
100% |
84
112.3 IPS |
|
|
Text Classification (HP)
|
100% |
1491
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1516
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
60% |
337
7.60 IPS |
