iPhone 12 Mini
Geekbench AI Score
2620
Single Precision Score
4667
Half Precision Score
3907
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Teva |
| Upload Date | January 26 2026 07:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (Q)
|
96% |
1446
270.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2189
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4935
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
10441
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9331
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (HP)
|
97% |
2225
177.1 IPS |
|
|
Object Detection (Q)
|
94% |
1631
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
2497
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
2678
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4560
35.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9114
70.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6562
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12663
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21501
27.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18568
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2640
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3179
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3877
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4225
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4249
73.4 IPS |
