iPhone 12 Mini
Geekbench AI Score
2429
Single Precision Score
3741
Half Precision Score
3114
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | raritymlp |
| Upload Date | August 16 2024 01:17 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1172
218.0 IPS |
|
|
Image Classification (HP)
|
100% |
1479
275.0 IPS |
|
|
Image Classification (Q)
|
99% |
1474
274.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1007
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5144
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
10733
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
9453
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1203
95.4 IPS |
|
|
Object Detection (HP)
|
97% |
1739
138.4 IPS |
|
|
Object Detection (Q)
|
94% |
1361
108.5 IPS |
|
|
Face Detection (SP)
|
100% |
1962
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (Q)
|
100% |
2292
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4436
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7090
54.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
3372
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12814
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21144
27.2 IPS |
|
|
Style Transfer (Q)
|
100% |
21218
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2680
99.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3946
145.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3050
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3312
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2758
47.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2718
47.0 IPS |
