iPhone 12
Geekbench AI Score
2700
Single Precision Score
4519
Half Precision Score
3762
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
1917
356.6 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2188
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5232
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
10493
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9263
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (HP)
|
97% |
2190
174.4 IPS |
|
|
Object Detection (Q)
|
94% |
1575
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (Q)
|
100% |
2652
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4755
36.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9465
73.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6575
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13180
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21535
27.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18537
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2981
110.1 IPS |
|
|
Text Classification (SP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3609
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3389
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3751
64.8 IPS |
