iPhone 12 Mini
Geekbench AI Score
1940
Single Precision Score
2208
Half Precision Score
2092
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | January 28 2026 06:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
378
70.3 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
96% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1620
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6239
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
8955
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
8046
9.43 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
92% |
618
49.4 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (Q)
|
100% |
3101
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4198
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5497
42.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5236
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12657
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13626
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13232
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1516
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1404
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3814
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
98% |
506
8.74 IPS |
