iPhone 12 Mini
Geekbench AI Score
2661
Single Precision Score
12607
Half Precision Score
12412
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | January 28 2026 06:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
4733
880.3 IPS |
|
|
Image Classification (Q)
|
96% |
4715
880.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8022
130.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8167
132.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4939
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
61596
71.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
60288
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
99% |
5664
450.6 IPS |
|
|
Object Detection (Q)
|
91% |
4928
393.8 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
12461
148.1 IPS |
|
|
Face Detection (Q)
|
100% |
10621
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4622
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36057
277.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
35602
278.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12997
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
98919
127.2 IPS |
|
|
Style Transfer (Q)
|
96% |
97742
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19753
729.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20014
739.0 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2463
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4164
72.0 IPS |
