iPhone 12 Mini
Geekbench AI Score
2792
Single Precision Score
12762
Half Precision Score
12464
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 10:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
4457
828.9 IPS |
|
|
Image Classification (Q)
|
96% |
4506
841.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8499
137.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8679
140.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5642
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
60310
70.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
60784
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
99% |
5919
470.8 IPS |
|
|
Object Detection (Q)
|
91% |
5057
404.0 IPS |
|
|
Face Detection (SP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
14015
166.5 IPS |
|
|
Face Detection (Q)
|
100% |
11881
141.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5007
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
39916
307.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
37373
292.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14147
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96398
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
94013
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3017
111.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17494
646.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18702
690.6 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2193
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3982
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4400
76.0 IPS |
