iPhone 12 Mini
Geekbench AI Score
2694
Single Precision Score
4783
Half Precision Score
3950
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | daviangel |
| Upload Date | November 13 2025 08:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
2025
376.6 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2204
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5239
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
11002
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9696
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (HP)
|
97% |
2241
178.4 IPS |
|
|
Object Detection (Q)
|
94% |
1641
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4740
56.3 IPS |
|
|
Face Detection (Q)
|
100% |
2734
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4832
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9290
71.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6629
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13200
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22535
29.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18323
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2712
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3223
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4148
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4258
73.6 IPS |
