iPhone 12
Geekbench AI Score
1443
Single Precision Score
9575
Half Precision Score
9599
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
758
140.9 IPS |
|
|
Image Classification (HP)
|
100% |
4759
885.1 IPS |
|
|
Image Classification (Q)
|
99% |
5518
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
3700
60.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3632
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4308
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
60325
70.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
58750
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
820
65.0 IPS |
|
|
Object Detection (HP)
|
99% |
5552
441.6 IPS |
|
|
Object Detection (Q)
|
93% |
4660
371.8 IPS |
|
|
Face Detection (SP)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
9075
107.8 IPS |
|
|
Face Detection (Q)
|
100% |
10226
121.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2739
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34706
267.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
29657
229.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5499
7.07 IPS |
|
|
Style Transfer (HP)
|
100% |
77483
99.6 IPS |
|
|
Style Transfer (Q)
|
100% |
85140
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14627
540.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14318
530.5 IPS |
|
|
Text Classification (SP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2645
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1239
21.4 IPS |
