iPhone 12 Mini
Geekbench AI Score
2690
Single Precision Score
4528
Half Precision Score
3794
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 05:15 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% |
1229
228.6 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.2 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2212
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5330
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
10563
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9344
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
97% |
2181
173.6 IPS |
|
|
Object Detection (Q)
|
94% |
1579
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
2688
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4754
36.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9492
73.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6670
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13141
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21413
27.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18709
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2766
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4023
148.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3048
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3639
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3580
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3311
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3794
65.6 IPS |
