iPhone 12 Mini
Geekbench AI Score
2760
Single Precision Score
4594
Half Precision Score
3822
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 01:21 PM |
| Views | 2 |
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% |
1252
232.8 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.4 IPS |
|
|
Image Classification (Q)
|
96% |
1359
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2191
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5632
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
11187
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9910
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
2166
172.5 IPS |
|
|
Object Detection (Q)
|
94% |
1577
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4726
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
2736
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4927
38.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9808
75.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6680
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13786
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22532
29.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19289
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2929
108.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3043
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3542
4.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3539
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3427
59.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3765
65.1 IPS |
