iPhone 12
Geekbench AI Score
2661
Single Precision Score
4485
Half Precision Score
3751
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rnbr2019 |
| Upload Date | December 17 2024 08:19 PM |
| Views | 4 |
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% |
1238
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.2 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2161
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4902
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
9929
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8977
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
97% |
2194
174.7 IPS |
|
|
Object Detection (Q)
|
94% |
1573
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (Q)
|
100% |
2682
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4775
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9298
71.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6640
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12868
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20697
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18245
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2702
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2998
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3588
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3423
59.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3786
65.4 IPS |
