iPhone 12 Mini
Geekbench AI Score
1832
Single Precision Score
2081
Half Precision Score
1995
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 04:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
366
68.2 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.3 IPS |
|
|
Image Classification (Q)
|
96% |
335
62.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1613
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5798
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
7344
8.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
6588
7.72 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
92% |
631
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
3079
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3252
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5564
42.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4717
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11483
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13143
16.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11653
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1480
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3622
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3590
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
98% |
496
8.57 IPS |
