iPhone 12 Mini
Geekbench AI Score
1577
Single Precision Score
9253
Half Precision Score
9896
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | lensmich |
| Upload Date | August 16 2024 08:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
761
141.6 IPS |
|
|
Image Classification (HP)
|
100% |
3723
692.4 IPS |
|
|
Image Classification (Q)
|
99% |
4862
906.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
3598
58.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3618
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4636
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
57597
67.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
57823
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (HP)
|
99% |
4653
370.1 IPS |
|
|
Object Detection (Q)
|
93% |
4744
378.5 IPS |
|
|
Face Detection (SP)
|
100% |
1469
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
10304
122.4 IPS |
|
|
Face Detection (Q)
|
100% |
10631
126.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2953
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32496
250.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
37412
289.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8031
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
89014
114.4 IPS |
|
|
Style Transfer (Q)
|
100% |
95168
122.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2131
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13415
495.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16669
617.6 IPS |
|
|
Text Classification (SP)
|
100% |
871
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2476
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1196
20.7 IPS |
