iPhone 12 Pro
Geekbench AI Score
2555
Single Precision Score
12508
Half Precision Score
12596
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 01:56 AM |
| Views | 1 |
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% |
1211
225.3 IPS |
|
|
Image Classification (HP)
|
100% |
3817
709.8 IPS |
|
|
Image Classification (Q)
|
96% |
4793
895.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8406
136.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9088
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4717
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
60185
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59895
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (HP)
|
99% |
5587
444.5 IPS |
|
|
Object Detection (Q)
|
91% |
4667
372.9 IPS |
|
|
Face Detection (SP)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
14198
168.7 IPS |
|
|
Face Detection (Q)
|
100% |
12097
143.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4406
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36754
283.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
36468
285.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11834
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
98189
126.2 IPS |
|
|
Style Transfer (Q)
|
96% |
99526
128.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2536
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18842
695.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19316
713.3 IPS |
|
|
Text Classification (SP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2222
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4385
75.8 IPS |
