iPhone 12
Geekbench AI Score
795
Single Precision Score
6426
Half Precision Score
5061
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | April 06 2025 04:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
343
63.7 IPS |
|
|
Image Classification (HP)
|
100% |
2694
500.9 IPS |
|
|
Image Classification (Q)
|
96% |
2794
521.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
200
3.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
32437
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32666
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
99% |
3353
266.7 IPS |
|
|
Object Detection (Q)
|
93% |
2990
238.6 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
6196
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1389
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22629
174.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
24453
191.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4157
5.34 IPS |
|
|
Style Transfer (HP)
|
100% |
60311
77.5 IPS |
|
|
Style Transfer (Q)
|
96% |
60318
77.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9790
361.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10647
393.1 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.2 IPS |
|
|
Text Classification (HP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (Q)
|
93% |
1949
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1066
18.4 IPS |
