iPhone 12
Geekbench AI Score
2502
Single Precision Score
4285
Half Precision Score
3569
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 04:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1199
223.0 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (Q)
|
96% |
1360
253.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1090
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2059
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4237
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
8718
10.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7823
9.17 IPS |
|
|
Object Detection (SP)
|
100% |
1226
97.3 IPS |
|
|
Object Detection (HP)
|
97% |
2106
167.7 IPS |
|
|
Object Detection (Q)
|
94% |
1518
121.0 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4473
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2474
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4328
33.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8831
68.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6203
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11654
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19883
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17329
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2556
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2912
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3559
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3269
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3665
63.3 IPS |
