iPhone 12
Geekbench AI Score
2409
Single Precision Score
3738
Half Precision Score
3256
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 02:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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
217.6 IPS |
|
|
Image Classification (HP)
|
100% |
1479
275.0 IPS |
|
|
Image Classification (Q)
|
96% |
1198
223.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
996
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1015
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1510
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5035
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
10382
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9423
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1193
94.7 IPS |
|
|
Object Detection (HP)
|
97% |
1745
138.9 IPS |
|
|
Object Detection (Q)
|
94% |
1350
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (Q)
|
100% |
2244
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4373
33.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
7029
54.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5248
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12557
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20624
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17821
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2625
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3033
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3347
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2798
48.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2732
47.2 IPS |
