iPhone 12 Mini
Geekbench AI Score
2708
Single Precision Score
4650
Half Precision Score
3864
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | eunu |
| Upload Date | August 03 2025 01:30 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2145
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5100
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
10294
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9250
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.2 IPS |
|
|
Object Detection (HP)
|
97% |
2227
177.3 IPS |
|
|
Object Detection (Q)
|
94% |
1616
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (Q)
|
100% |
2614
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4696
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8774
67.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6392
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12782
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21494
27.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18623
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4137
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3138
115.9 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2349
40.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4236
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4209
72.7 IPS |
