iPhone 12 Mini
Geekbench AI Score
2721
Single Precision Score
4507
Half Precision Score
3774
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 08:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.7 IPS |
|
|
Image Classification (Q)
|
96% |
1365
254.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2205
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5458
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
10652
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9317
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
97% |
2193
174.6 IPS |
|
|
Object Detection (Q)
|
94% |
1578
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4688
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
2703
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4800
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9360
72.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6580
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13123
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21307
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18492
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3936
145.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2985
110.2 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3592
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3306
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3760
65.0 IPS |
