iPhone 12
Geekbench AI Score
2554
Single Precision Score
4357
Half Precision Score
3675
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 10:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
1939
360.7 IPS |
|
|
Image Classification (Q)
|
96% |
1374
256.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2078
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4629
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
9186
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8332
9.77 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (HP)
|
97% |
2139
170.3 IPS |
|
|
Object Detection (Q)
|
94% |
1545
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4386
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
2502
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4324
33.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8356
64.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6101
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11767
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18388
23.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17440
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2454
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3028
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3732
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3983
68.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4072
70.4 IPS |
