iPhone 12 Mini
Geekbench AI Score
2742
Single Precision Score
4688
Half Precision Score
3885
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 09:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1430
266.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2122
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5266
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
10868
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9497
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.4 IPS |
|
|
Object Detection (HP)
|
97% |
2184
173.8 IPS |
|
|
Object Detection (Q)
|
94% |
1649
131.4 IPS |
|
|
Face Detection (SP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4604
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
2607
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4721
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8987
69.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6452
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13144
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21892
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18900
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4083
150.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3162
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3922
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3870
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2357
40.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4237
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4241
73.3 IPS |
