iPhone 12 Mini
Geekbench AI Score
1807
Single Precision Score
2011
Half Precision Score
1869
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 10:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.8 IPS |
|
|
Image Classification (Q)
|
97% |
349
65.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1694
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6154
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
9255
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8147
9.55 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
91% |
543
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
2587
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3952
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5516
42.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4736
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12734
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13518
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12789
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1351
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3570
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3589
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
98% |
262
4.53 IPS |
