iPhone 12 Mini
Geekbench AI Score
2611
Single Precision Score
4444
Half Precision Score
3659
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 22 2025 05:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1195
222.3 IPS |
|
|
Image Classification (HP)
|
100% |
1903
353.8 IPS |
|
|
Image Classification (Q)
|
96% |
1355
253.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1992
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4843
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
9755
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8380
9.82 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (HP)
|
97% |
2123
169.0 IPS |
|
|
Object Detection (Q)
|
94% |
1453
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
2417
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4421
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2559
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4667
36.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9216
71.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6433
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12730
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21302
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18686
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2834
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3942
145.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3024
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3653
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3642
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3852
66.6 IPS |
