iPhone 12 Mini
Geekbench AI Score
2623
Single Precision Score
4554
Half Precision Score
3774
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nmalifkhan |
| Upload Date | August 06 2025 06:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (Q)
|
96% |
1372
256.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2155
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5170
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
10081
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8977
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
97% |
2159
171.9 IPS |
|
|
Object Detection (Q)
|
94% |
1564
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
2607
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4623
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8989
69.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6411
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12551
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21358
27.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18416
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3096
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3803
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3671
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3994
69.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4045
69.9 IPS |
