iPhone 12 Mini
Geekbench AI Score
1916
Single Precision Score
2207
Half Precision Score
2091
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 08:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
375
69.7 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (Q)
|
96% |
329
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1639
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6144
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9088
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
8196
9.61 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
92% |
580
46.3 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
3125
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3277
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5523
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5203
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12653
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13743
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13241
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1459
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3821
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
490
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
98% |
520
8.98 IPS |
