iPhone 12
Geekbench AI Score
2727
Single Precision Score
4559
Half Precision Score
3993
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Kellum |
| Upload Date | August 23 2024 03:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (Q)
|
99% |
1915
357.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1784
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5438
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
10883
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9577
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.3 IPS |
|
|
Object Detection (HP)
|
97% |
2189
174.3 IPS |
|
|
Object Detection (Q)
|
94% |
1581
126.0 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
2719
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4825
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9563
73.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
9577
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13332
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21670
27.9 IPS |
|
|
Style Transfer (Q)
|
100% |
21566
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2872
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3985
147.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2984
110.5 IPS |
|
|
Text Classification (SP)
|
100% |
2079
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3591
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3349
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3318
57.3 IPS |
