iPhone 12 Mini
Geekbench AI Score
1765
Single Precision Score
1989
Half Precision Score
1669
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sichunlam |
| Upload Date | August 15 2024 05:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
353
65.7 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
99% |
319
59.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1535
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6146
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9050
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
7867
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
91% |
623
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
2609
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4117
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5561
42.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
995
7.70 IPS |
|
|
Style Transfer (SP)
|
100% |
12632
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13515
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13539
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1564
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1433
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3540
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
98% |
394
6.80 IPS |
