iPhone 12 Mini
Geekbench AI Score
1395
Single Precision Score
8191
Half Precision Score
8218
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | balazskake |
| Upload Date | February 03 2025 05:44 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
558
103.7 IPS |
|
|
Image Classification (HP)
|
100% |
2690
500.3 IPS |
|
|
Image Classification (Q)
|
96% |
2872
536.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4667
75.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5007
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
33672
39.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
33175
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (HP)
|
99% |
3506
278.9 IPS |
|
|
Object Detection (Q)
|
91% |
3167
253.0 IPS |
|
|
Face Detection (SP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
7431
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
6971
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2266
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23548
181.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
23287
182.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6957
8.94 IPS |
|
|
Style Transfer (HP)
|
100% |
60749
78.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59562
76.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11778
434.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12275
453.2 IPS |
|
|
Text Classification (SP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1862
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
1865
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4202
72.6 IPS |
