iPhone 12 Mini
Geekbench AI Score
2724
Single Precision Score
11993
Half Precision Score
11731
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 09:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
3858
717.5 IPS |
|
|
Image Classification (Q)
|
96% |
3895
727.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7869
127.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8278
134.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5098
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
58866
68.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59338
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (HP)
|
99% |
5397
429.3 IPS |
|
|
Object Detection (Q)
|
91% |
4621
369.3 IPS |
|
|
Face Detection (SP)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
11866
141.0 IPS |
|
|
Face Detection (Q)
|
100% |
10176
120.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4870
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37007
285.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
35742
279.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13556
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94368
121.3 IPS |
|
|
Style Transfer (Q)
|
96% |
91613
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17300
638.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17600
649.9 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2246
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3991
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4240
73.3 IPS |
