iPhone 12 Mini
Geekbench AI Score
2634
Single Precision Score
4479
Half Precision Score
3679
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 12:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1217
226.4 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2152
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5187
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
10537
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9247
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (HP)
|
97% |
2084
165.9 IPS |
|
|
Object Detection (Q)
|
94% |
1484
118.3 IPS |
|
|
Face Detection (SP)
|
100% |
2353
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2524
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4629
35.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9195
71.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6430
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12991
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21193
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18188
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2715
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2922
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3609
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3616
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3368
58.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3611
62.4 IPS |
