iPhone 12 Mini
Geekbench AI Score
2629
Single Precision Score
12444
Half Precision Score
12355
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | daviangel |
| Upload Date | November 13 2025 09:21 AM |
| Views | 2 |
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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
4966
923.4 IPS |
|
|
Image Classification (Q)
|
96% |
5091
950.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8257
133.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8606
139.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4753
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
62793
73.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59282
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
1192
94.5 IPS |
|
|
Object Detection (HP)
|
99% |
6038
480.3 IPS |
|
|
Object Detection (Q)
|
91% |
4962
396.5 IPS |
|
|
Face Detection (SP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
12329
146.5 IPS |
|
|
Face Detection (Q)
|
100% |
10832
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4611
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35273
271.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
34261
267.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12741
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94091
121.0 IPS |
|
|
Style Transfer (Q)
|
96% |
92290
119.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17952
662.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19090
704.9 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2338
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4207
72.7 IPS |
