iPhone 12 Mini
Geekbench AI Score
2688
Single Precision Score
4598
Half Precision Score
3819
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 04:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1262
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
1925
357.9 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2135
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5367
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
10774
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9514
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
97% |
2143
170.6 IPS |
|
|
Object Detection (Q)
|
94% |
1572
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
2660
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4726
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8942
69.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6420
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12891
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21985
28.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18944
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3110
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
2143
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3708
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3695
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4079
70.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4065
70.2 IPS |
