iPhone 12 Mini
Geekbench AI Score
2654
Single Precision Score
4563
Half Precision Score
3777
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Hellsegga |
| Upload Date | August 21 2025 07:44 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1277
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.3 IPS |
|
|
Image Classification (Q)
|
96% |
1371
256.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2138
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5169
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
10435
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9265
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
97% |
2164
172.3 IPS |
|
|
Object Detection (Q)
|
94% |
1577
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
2506
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4514
34.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8659
66.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6193
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12752
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21234
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18422
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2676
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3118
115.1 IPS |
|
|
Text Classification (SP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3763
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3767
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4052
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4110
71.0 IPS |
