iPhone 12 Mini
Geekbench AI Score
2736
Single Precision Score
4569
Half Precision Score
3825
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 05:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.8 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2221
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5499
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
10880
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9649
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
97% |
2201
175.3 IPS |
|
|
Object Detection (Q)
|
94% |
1584
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4740
56.3 IPS |
|
|
Face Detection (Q)
|
100% |
2741
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4831
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9688
74.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6693
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13400
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21894
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18938
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2856
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4005
147.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3071
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3573
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3381
58.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3784
65.4 IPS |
