iPhone 12
Geekbench AI Score
2745
Single Precision Score
4565
Half Precision Score
3829
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 10:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.3 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2214
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5461
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
10818
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9616
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
97% |
2202
175.3 IPS |
|
|
Object Detection (Q)
|
94% |
1595
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4757
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2750
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4857
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9624
74.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6685
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13291
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21965
28.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18982
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2889
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4008
148.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3072
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3616
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3297
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3768
65.1 IPS |
