iPhone 12 Mini
Geekbench AI Score
1478
Single Precision Score
1537
Half Precision Score
1443
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | raritymlp |
| Upload Date | August 16 2024 01:31 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
363
67.5 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (Q)
|
99% |
339
63.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1552
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6146
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
6145
7.20 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
92% |
655
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
2489
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5234
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5363
41.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
5530
42.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11602
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13553
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13407
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1384
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
245
327.6 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.7 IPS |
|
|
Text Classification (Q)
|
93% |
165
221.5 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
98% |
440
7.60 IPS |
