iPhone 12
Geekbench AI Score
2389
Single Precision Score
4339
Half Precision Score
3616
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 11:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
2039
379.3 IPS |
|
|
Image Classification (Q)
|
96% |
1445
269.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2067
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4276
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
8918
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8021
9.40 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
97% |
2073
165.0 IPS |
|
|
Object Detection (Q)
|
94% |
1505
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
2314
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
2436
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3985
30.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8153
63.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5958
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10545
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18584
23.9 IPS |
|
|
Style Transfer (Q)
|
96% |
16136
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3671
135.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2870
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3892
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3865
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2060
35.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4061
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4088
70.7 IPS |
