iPhone 12 Mini
Geekbench AI Score
2744
Single Precision Score
12512
Half Precision Score
12132
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 17 2025 06:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1218
226.5 IPS |
|
|
Image Classification (HP)
|
100% |
5057
940.5 IPS |
|
|
Image Classification (Q)
|
96% |
4487
837.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8283
134.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8393
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5294
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
59801
69.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59004
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.9 IPS |
|
|
Object Detection (HP)
|
99% |
5415
430.8 IPS |
|
|
Object Detection (Q)
|
91% |
4831
386.0 IPS |
|
|
Face Detection (SP)
|
100% |
2553
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
11642
138.3 IPS |
|
|
Face Detection (Q)
|
100% |
10085
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4870
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37501
288.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
34611
270.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14115
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
98022
126.0 IPS |
|
|
Style Transfer (Q)
|
96% |
95259
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2862
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20031
739.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19750
729.3 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2353
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4166
72.0 IPS |
