iPhone 12 Mini
Geekbench AI Score
1940
Single Precision Score
3192
Half Precision Score
2868
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 01:28 AM |
| Views | 1 |
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% |
1224
227.6 IPS |
|
|
Image Classification (HP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (Q)
|
96% |
1198
223.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1503
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3610
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6281
7.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
6617
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (HP)
|
97% |
1404
111.8 IPS |
|
|
Object Detection (Q)
|
94% |
1380
110.0 IPS |
|
|
Face Detection (SP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (Q)
|
100% |
2330
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3542
27.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4080
31.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4633
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7650
9.83 IPS |
|
|
Style Transfer (HP)
|
100% |
15307
19.7 IPS |
|
|
Style Transfer (Q)
|
96% |
10165
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2309
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2059
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3684
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3564
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1890
32.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2863
49.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2850
49.3 IPS |
