Infinix GT 30 Pro
Geekbench AI Score
919
Single Precision Score
1172
Half Precision Score
965
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 01 2026 11:28 PM |
| Views | 27 |
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% |
470
87.5 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
97% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2125
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6597
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
10741
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10563
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (HP)
|
99% |
573
45.5 IPS |
|
|
Object Detection (Q)
|
83% |
530
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
2243
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (Q)
|
96% |
2549
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2361
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3848
29.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
3002
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9991
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16083
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15310
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1515
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1347
49.9 IPS |
|
|
Text Classification (SP)
|
35% |
13
118.8 IPS |
|
|
Text Classification (HP)
|
29% |
8
144.5 IPS |
|
|
Text Classification (Q)
|
32% |
11
135.6 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (Q)
|
43% |
84
4.90 IPS |
