iPhone 12 Mini
Geekbench AI Score
2532
Single Precision Score
4397
Half Precision Score
3655
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nmalifkhan |
| Upload Date | July 15 2025 04:58 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
1926
358.2 IPS |
|
|
Image Classification (Q)
|
96% |
1372
256.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2063
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4377
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
9070
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8299
9.73 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
97% |
2077
165.4 IPS |
|
|
Object Detection (Q)
|
94% |
1523
121.4 IPS |
|
|
Face Detection (SP)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4393
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2483
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4369
33.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8632
66.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
5951
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11924
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20737
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17750
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2558
94.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3927
145.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2968
109.6 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3724
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3955
68.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4104
70.9 IPS |
