iPhone 12
Geekbench AI Score
2684
Single Precision Score
12516
Half Precision Score
12367
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1252
232.8 IPS |
|
|
Image Classification (HP)
|
100% |
4286
797.0 IPS |
|
|
Image Classification (Q)
|
96% |
4724
882.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8379
135.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8648
140.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5045
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
61897
72.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60561
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
99% |
5845
465.0 IPS |
|
|
Object Detection (Q)
|
91% |
5046
403.2 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
14135
168.0 IPS |
|
|
Face Detection (Q)
|
100% |
11852
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4752
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36411
280.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
35252
275.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12980
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95520
122.8 IPS |
|
|
Style Transfer (Q)
|
96% |
93944
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16937
625.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18421
680.2 IPS |
|
|
Text Classification (SP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2291
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4048
70.0 IPS |
