iPhone 12
Geekbench AI Score
2728
Single Precision Score
4563
Half Precision Score
3822
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (Q)
|
96% |
1361
254.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2204
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5281
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
10747
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9507
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
97% |
2203
175.3 IPS |
|
|
Object Detection (Q)
|
94% |
1593
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
2746
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4828
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9624
74.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6664
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13403
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22104
28.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19086
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2877
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4031
148.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3069
113.3 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3595
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3615
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3328
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3783
65.4 IPS |
