iPhone 12
Geekbench AI Score
2467
Single Precision Score
4468
Half Precision Score
3742
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mmalsarwani |
| Upload Date | April 11 2025 08:56 PM |
| Views | 9 |
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% |
561
104.4 IPS |
|
|
Image Classification (HP)
|
100% |
1888
351.1 IPS |
|
|
Image Classification (Q)
|
96% |
1361
254.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2139
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4899
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
10435
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9269
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1264
100.2 IPS |
|
|
Object Detection (HP)
|
97% |
2148
171.0 IPS |
|
|
Object Detection (Q)
|
94% |
1567
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
2514
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (Q)
|
100% |
2671
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4699
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9353
72.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6549
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12954
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21201
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18354
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2809
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3929
145.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2999
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3525
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3300
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3759
65.0 IPS |
