iPhone 12 Mini
Geekbench AI Score
2705
Single Precision Score
12658
Half Precision Score
12825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 03:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1216
226.2 IPS |
|
|
Image Classification (HP)
|
100% |
4895
910.4 IPS |
|
|
Image Classification (Q)
|
96% |
5007
935.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8183
132.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8420
136.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5201
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
59851
69.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
62360
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
99% |
6103
485.5 IPS |
|
|
Object Detection (Q)
|
91% |
5446
435.2 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
12250
145.6 IPS |
|
|
Face Detection (Q)
|
100% |
10530
125.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4804
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37066
285.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
36039
281.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13333
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96928
124.6 IPS |
|
|
Style Transfer (Q)
|
96% |
94791
122.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19395
716.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20000
738.5 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2464
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4746
82.0 IPS |
