Xiaomi 2306EPN60G
Geekbench AI Score
374
Single Precision Score
450
Half Precision Score
438
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cifra45 |
| Upload Date | January 28 2025 02:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2306EPN60G |
| Model ID | Xiaomi 2306EPN60G |
| Motherboard | aristotle |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
253
47.1 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (Q)
|
99% |
308
57.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
436
7.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
513
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (Q)
|
83% |
127
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (Q)
|
97% |
664
7.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
585
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
713
5.49 IPS |
|
|
Depth Estimation (Q)
|
62% |
564
5.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1493
1.92 IPS |
|
|
Style Transfer (HP)
|
100% |
1990
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1971
2.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
355
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
210
280.4 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.5 IPS |
|
|
Text Classification (Q)
|
91% |
398
534.9 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.03 IPS |
