iPhone 12 Pro
Geekbench AI Score
2638
Single Precision Score
13204
Half Precision Score
13083
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | urix |
| Upload Date | February 22 2025 08:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
4502
837.1 IPS |
|
|
Image Classification (Q)
|
96% |
4809
898.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8747
141.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9186
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4956
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
61793
72.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60182
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
99% |
5888
468.3 IPS |
|
|
Object Detection (Q)
|
91% |
4591
366.8 IPS |
|
|
Face Detection (SP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
14644
174.0 IPS |
|
|
Face Detection (Q)
|
100% |
12832
152.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4559
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
37645
290.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
38454
300.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12511
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
99796
128.3 IPS |
|
|
Style Transfer (Q)
|
96% |
98575
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2678
98.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18882
697.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19750
729.3 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2227
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4737
81.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5628
97.3 IPS |
