iPhone 12 Mini
Geekbench AI Score
2800
Single Precision Score
4607
Half Precision Score
3853
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 08:15 AM |
| Views | 1 |
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% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.7 IPS |
|
|
Image Classification (Q)
|
96% |
1365
254.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2203
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5768
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
11377
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10121
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
97% |
2197
174.9 IPS |
|
|
Object Detection (Q)
|
94% |
1591
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4731
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
2761
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5038
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9729
75.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6712
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14255
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23052
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19473
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2983
110.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3035
112.1 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3593
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3315
57.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3788
65.5 IPS |
