iPhone 12
Geekbench AI Score
1358
Single Precision Score
2334
Half Precision Score
1912
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 10:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
551
102.5 IPS |
|
|
Image Classification (HP)
|
100% |
910
169.2 IPS |
|
|
Image Classification (Q)
|
96% |
644
120.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
891
14.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1044
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2579
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
5164
6.05 IPS |
|
|
Object Detection (SP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (HP)
|
97% |
1015
80.8 IPS |
|
|
Object Detection (Q)
|
94% |
742
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2262
26.9 IPS |
|
|
Face Detection (Q)
|
100% |
1338
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2216
17.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4255
32.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
3016
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6962
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
11225
14.4 IPS |
|
|
Style Transfer (Q)
|
96% |
9322
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1525
56.3 IPS |
|
|
Text Classification (SP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (HP)
|
99% |
1937
2.59 KIPS |
|
|
Text Classification (Q)
|
93% |
1922
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2298
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2299
39.7 IPS |
