iPhone 12 Mini
Geekbench AI Score
2723
Single Precision Score
4633
Half Precision Score
3866
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 03:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (Q)
|
96% |
1445
269.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2157
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5135
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
10474
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9324
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
97% |
2204
175.4 IPS |
|
|
Object Detection (Q)
|
94% |
1612
128.5 IPS |
|
|
Face Detection (SP)
|
100% |
2538
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4587
54.5 IPS |
|
|
Face Detection (Q)
|
100% |
2648
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4734
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9119
70.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6551
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12909
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22057
28.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19307
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4014
148.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3186
117.6 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3572
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2354
40.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4238
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4184
72.3 IPS |
