iPhone 12 Mini
Geekbench AI Score
2656
Single Precision Score
4494
Half Precision Score
3710
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 11:50 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% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
1911
355.4 IPS |
|
|
Image Classification (Q)
|
96% |
1365
255.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1761
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2155
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5120
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
10615
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9248
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
97% |
2157
171.7 IPS |
|
|
Object Detection (Q)
|
94% |
1558
124.2 IPS |
|
|
Face Detection (SP)
|
100% |
2463
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
4643
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
2618
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4647
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9346
72.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6350
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12686
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20777
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18002
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2757
101.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3978
146.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2974
109.8 IPS |
|
|
Text Classification (SP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3625
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3394
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3617
62.5 IPS |
