iPhone 12 Pro
Geekbench AI Score
2741
Single Precision Score
11385
Half Precision Score
11102
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
4457
828.8 IPS |
|
|
Image Classification (Q)
|
96% |
4595
858.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5542
89.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5851
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5397
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
61259
71.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
61139
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.3 IPS |
|
|
Object Detection (HP)
|
99% |
5524
439.4 IPS |
|
|
Object Detection (Q)
|
91% |
5155
411.9 IPS |
|
|
Face Detection (SP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
14121
167.8 IPS |
|
|
Face Detection (Q)
|
100% |
11796
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4897
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
38831
299.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
35082
274.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13561
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96187
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
98869
127.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2920
107.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18822
695.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19131
706.4 IPS |
|
|
Text Classification (SP)
|
100% |
2081
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2240
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1995
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1915
33.1 IPS |
