iPhone 12
Geekbench AI Score
2423
Single Precision Score
3673
Half Precision Score
3224
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1170
217.5 IPS |
|
|
Image Classification (HP)
|
100% |
1464
272.3 IPS |
|
|
Image Classification (Q)
|
96% |
1184
221.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1500
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5122
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
10584
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9452
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1205
95.6 IPS |
|
|
Object Detection (HP)
|
97% |
1736
138.2 IPS |
|
|
Object Detection (Q)
|
94% |
1366
108.9 IPS |
|
|
Face Detection (SP)
|
100% |
1942
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
2284
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4445
34.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7065
54.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5393
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12633
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20732
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17853
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2619
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3057
112.9 IPS |
|
|
Text Classification (SP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2911
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2724
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2712
46.9 IPS |
