iPhone 12 Mini
Geekbench AI Score
2116
Single Precision Score
13152
Half Precision Score
13018
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 05:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1080
200.9 IPS |
|
|
Image Classification (HP)
|
100% |
4904
912.1 IPS |
|
|
Image Classification (Q)
|
96% |
4989
931.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8391
136.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8515
138.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3806
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
59777
69.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
62062
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
970
77.0 IPS |
|
|
Object Detection (HP)
|
99% |
6387
508.1 IPS |
|
|
Object Detection (Q)
|
91% |
5143
410.9 IPS |
|
|
Face Detection (SP)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
14237
169.2 IPS |
|
|
Face Detection (Q)
|
100% |
11485
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3254
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
37220
286.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
39756
310.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9387
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
92876
119.4 IPS |
|
|
Style Transfer (Q)
|
96% |
88592
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18569
685.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19353
714.6 IPS |
|
|
Text Classification (SP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2377
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5541
95.8 IPS |
