iPhone 12
Geekbench AI Score
2703
Single Precision Score
13571
Half Precision Score
13608
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jouwee |
| Upload Date | October 29 2024 08:03 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
4933
917.3 IPS |
|
|
Image Classification (Q)
|
96% |
4979
929.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8711
141.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9286
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5094
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
62809
73.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
61305
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
99% |
6543
520.5 IPS |
|
|
Object Detection (Q)
|
91% |
6040
482.6 IPS |
|
|
Face Detection (SP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
14936
177.5 IPS |
|
|
Face Detection (Q)
|
100% |
12453
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4667
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
39400
303.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
42762
334.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13032
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
103996
133.7 IPS |
|
|
Style Transfer (Q)
|
96% |
105425
136.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2890
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19243
710.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20364
751.9 IPS |
|
|
Text Classification (SP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2452
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4127
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4538
78.4 IPS |
