iPhone 12 Pro
Geekbench AI Score
2724
Single Precision Score
13089
Half Precision Score
12881
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 01 2024 01:35 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1252
232.8 IPS |
|
|
Image Classification (HP)
|
100% |
4537
843.7 IPS |
|
|
Image Classification (Q)
|
96% |
4703
878.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8377
135.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8568
138.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5265
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
61511
71.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
60630
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
99% |
6414
510.2 IPS |
|
|
Object Detection (Q)
|
91% |
5504
439.8 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
14204
168.8 IPS |
|
|
Face Detection (Q)
|
100% |
12164
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4797
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38014
292.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
38051
297.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13244
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
100925
129.7 IPS |
|
|
Style Transfer (Q)
|
96% |
97377
125.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2883
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19524
720.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21294
786.3 IPS |
|
|
Text Classification (SP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4418
76.3 IPS |
