iPhone 12 Mini
Geekbench AI Score
2702
Single Precision Score
4538
Half Precision Score
3784
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 10 2024 01:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (Q)
|
96% |
1371
256.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2195
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5249
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
10624
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9381
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
97% |
2184
173.9 IPS |
|
|
Object Detection (Q)
|
94% |
1572
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4711
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
2692
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4767
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9486
73.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6621
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13081
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21183
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18450
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2789
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3057
112.9 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3356
58.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3769
65.1 IPS |
