iPhone 12 Mini
Geekbench AI Score
2688
Single Precision Score
10991
Half Precision Score
11091
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | oleker |
| Upload Date | August 18 2024 01:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1268
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
4771
887.2 IPS |
|
|
Image Classification (Q)
|
99% |
5195
969.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5452
88.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5411
87.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5163
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
57622
67.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
58832
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
99% |
5211
414.5 IPS |
|
|
Object Detection (Q)
|
91% |
4670
373.1 IPS |
|
|
Face Detection (SP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
11721
139.3 IPS |
|
|
Face Detection (Q)
|
100% |
11548
137.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4749
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
37412
288.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
39542
305.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12905
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96116
123.6 IPS |
|
|
Style Transfer (Q)
|
100% |
97577
125.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17588
649.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18795
696.3 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2244
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1942
33.6 IPS |
