iPhone 12 Mini
Geekbench AI Score
2351
Single Precision Score
3607
Half Precision Score
3167
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (HP)
|
100% |
1491
277.3 IPS |
|
|
Image Classification (Q)
|
96% |
1198
223.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1451
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4424
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
9301
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8442
9.89 IPS |
|
|
Object Detection (SP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (HP)
|
97% |
1693
134.8 IPS |
|
|
Object Detection (Q)
|
94% |
1290
102.8 IPS |
|
|
Face Detection (SP)
|
100% |
1856
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
2071
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4017
31.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
6335
49.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4807
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11371
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18983
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18707
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4261
157.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3071
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3348
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2832
48.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2805
48.5 IPS |
