Infinix GT 30 Pro
Geekbench AI Score
911
Single Precision Score
1195
Half Precision Score
1004
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 11:51 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
340
63.2 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (Q)
|
97% |
463
86.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1945
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6413
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
10458
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9689
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
99% |
565
44.9 IPS |
|
|
Object Detection (Q)
|
83% |
529
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
2030
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (Q)
|
96% |
2490
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2828
21.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3907
30.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3769
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10136
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15434
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15592
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1487
55.1 IPS |
|
|
Text Classification (SP)
|
35% |
15
132.3 IPS |
|
|
Text Classification (HP)
|
29% |
9
154.7 IPS |
|
|
Text Classification (Q)
|
32% |
12
149.3 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
43% |
87
5.07 IPS |
