iPhone 12 Mini
Geekbench AI Score
2686
Single Precision Score
13375
Half Precision Score
13558
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 05:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
4560
848.0 IPS |
|
|
Image Classification (Q)
|
96% |
4691
876.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8439
136.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8647
140.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5278
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
63984
74.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
62281
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (HP)
|
99% |
5965
474.5 IPS |
|
|
Object Detection (Q)
|
91% |
5401
431.5 IPS |
|
|
Face Detection (SP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
14361
170.6 IPS |
|
|
Face Detection (Q)
|
100% |
12072
143.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4672
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38245
294.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
40481
316.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13042
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
105348
135.4 IPS |
|
|
Style Transfer (Q)
|
96% |
104259
134.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2818
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19337
714.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20225
746.8 IPS |
|
|
Text Classification (SP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2676
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4653
80.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5580
96.4 IPS |
