iPhone 12
Geekbench AI Score
1603
Single Precision Score
2651
Half Precision Score
2124
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 10:28 PM |
| Views | 3 |
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% |
827
153.8 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (Q)
|
96% |
349
65.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
409
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
1458
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4261
4.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
4002
4.69 IPS |
|
|
Object Detection (SP)
|
100% |
995
79.0 IPS |
|
|
Object Detection (HP)
|
97% |
1788
142.4 IPS |
|
|
Object Detection (Q)
|
94% |
1070
85.3 IPS |
|
|
Face Detection (SP)
|
100% |
1952
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (Q)
|
100% |
1950
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3312
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7654
59.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
5020
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9034
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15401
19.8 IPS |
|
|
Style Transfer (Q)
|
96% |
14072
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3242
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2452
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
1959
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3633
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2954
51.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2497
43.2 IPS |
