iPhone 12 Mini
Geekbench AI Score
2624
Single Precision Score
4535
Half Precision Score
3774
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 01:38 AM |
| Views | 3 |
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% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
1934
359.7 IPS |
|
|
Image Classification (Q)
|
96% |
1378
257.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2066
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5053
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
10498
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9219
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1235
98.0 IPS |
|
|
Object Detection (HP)
|
97% |
2143
170.6 IPS |
|
|
Object Detection (Q)
|
94% |
1561
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
2525
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4521
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
2596
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4548
35.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8725
67.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6300
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12580
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21519
27.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18061
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2382
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3781
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3094
114.2 IPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3773
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4135
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4156
71.8 IPS |
