Xiaomi 2306EPN60G
Geekbench AI Score
398
Single Precision Score
491
Half Precision Score
502
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | iClondike |
| Upload Date | January 28 2025 03:30 PM |
| Views | 4 |
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% |
277
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
99% |
429
80.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
477
7.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
513
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
327
26.0 IPS |
|
|
Object Detection (Q)
|
83% |
265
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
715
8.49 IPS |
|
|
Face Detection (HP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
838
9.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
579
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
703
5.42 IPS |
|
|
Depth Estimation (Q)
|
62% |
561
5.31 IPS |
|
|
Style Transfer (SP)
|
100% |
1477
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1968
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1942
2.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
354
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.6 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.5 IPS |
|
|
Text Classification (Q)
|
91% |
397
533.1 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
