iPhone 12 Mini
Geekbench AI Score
2714
Single Precision Score
4510
Half Precision Score
3772
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:57 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% |
1257
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.9 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2194
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5281
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
10619
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9338
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (HP)
|
97% |
2191
174.4 IPS |
|
|
Object Detection (Q)
|
94% |
1579
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4703
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
2634
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4769
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9393
72.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6551
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13047
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21466
27.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18575
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3019
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3607
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3283
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3775
65.2 IPS |
