iPhone 12 Mini
Geekbench AI Score
2545
Single Precision Score
4233
Half Precision Score
3535
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:38 PM |
| 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
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2042
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4688
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
9280
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8384
9.83 IPS |
|
|
Object Detection (SP)
|
100% |
1231
97.7 IPS |
|
|
Object Detection (HP)
|
97% |
2122
168.9 IPS |
|
|
Object Detection (Q)
|
94% |
1516
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
2445
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4468
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2517
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4573
35.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8703
67.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6144
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11578
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19338
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
16806
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2401
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3534
130.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2661
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2072
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3559
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2976
51.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3496
60.4 IPS |
