iPhone 12
Geekbench AI Score
2634
Single Precision Score
4429
Half Precision Score
3699
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 10:35 AM |
| Views | 10 |
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% |
1213
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1944
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4739
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
9924
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8498
9.96 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.1 IPS |
|
|
Object Detection (HP)
|
97% |
2126
169.3 IPS |
|
|
Object Detection (Q)
|
94% |
1559
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
4428
52.6 IPS |
|
|
Face Detection (Q)
|
100% |
2650
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4732
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9420
72.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6576
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13221
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21548
27.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18779
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2872
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4148
153.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3052
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3635
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3628
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3342
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3773
65.2 IPS |
