iPhone 12 Mini
Geekbench AI Score
2760
Single Precision Score
4593
Half Precision Score
3829
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1804
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2204
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5621
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
11067
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9778
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
97% |
2193
174.6 IPS |
|
|
Object Detection (Q)
|
94% |
1585
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
2736
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4935
38.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9619
74.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6670
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13641
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22506
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19196
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2895
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3054
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3369
58.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3784
65.4 IPS |
