iPhone 12 Mini
Geekbench AI Score
1462
Single Precision Score
1528
Half Precision Score
1438
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | lensmich |
| Upload Date | August 16 2024 08:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.3 IPS |
|
|
Image Classification (Q)
|
99% |
322
60.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1563
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6070
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
6437
7.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
5961
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
92% |
661
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (Q)
|
100% |
2510
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5205
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5475
42.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
5308
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11589
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13524
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13388
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1501
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
248
330.6 IPS |
|
|
Text Classification (HP)
|
100% |
245
327.3 IPS |
|
|
Text Classification (Q)
|
93% |
165
220.9 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (Q)
|
98% |
446
7.70 IPS |
