iPhone 12
Geekbench AI Score
2706
Single Precision Score
4522
Half Precision Score
3780
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 20 2024 06:53 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2192
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5239
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
10512
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9262
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.3 IPS |
|
|
Object Detection (HP)
|
97% |
2195
174.7 IPS |
|
|
Object Detection (Q)
|
94% |
1592
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4694
55.8 IPS |
|
|
Face Detection (Q)
|
100% |
2704
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4711
36.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9476
73.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6551
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13174
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21427
27.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18401
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3060
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3588
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3330
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3782
65.4 IPS |
