iPhone 12 Mini
Geekbench AI Score
2761
Single Precision Score
4560
Half Precision Score
3831
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 10:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1267
235.6 IPS |
|
|
Image Classification (HP)
|
100% |
1909
354.9 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2183
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5572
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
10988
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9797
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
97% |
2215
176.3 IPS |
|
|
Object Detection (Q)
|
94% |
1595
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4759
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2766
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4937
38.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9692
74.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6708
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13575
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22199
28.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19136
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2864
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3054
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3552
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3285
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3802
65.7 IPS |
