iPhone 12 Pro
Geekbench AI Score
1567
Single Precision Score
9853
Half Precision Score
8243
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 04:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
925
172.1 IPS |
|
|
Image Classification (HP)
|
100% |
4425
822.9 IPS |
|
|
Image Classification (Q)
|
96% |
4543
848.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
3768
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
402
6.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
3584
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
58765
68.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59752
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
869
68.9 IPS |
|
|
Object Detection (HP)
|
99% |
5854
465.6 IPS |
|
|
Object Detection (Q)
|
93% |
5016
400.3 IPS |
|
|
Face Detection (SP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
11560
137.4 IPS |
|
|
Face Detection (Q)
|
100% |
10658
126.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2859
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35494
273.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
42613
333.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7573
9.73 IPS |
|
|
Style Transfer (HP)
|
100% |
100536
129.2 IPS |
|
|
Style Transfer (Q)
|
96% |
97245
125.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10821
399.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16502
609.3 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2581
3.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2564
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1416
24.5 IPS |
