iPhone 14 Pro
Geekbench AI Score
3231
Single Precision Score
4874
Half Precision Score
4066
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 05:18 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
1871
348.0 IPS |
|
|
Image Classification (Q)
|
99% |
1902
354.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1216
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14634
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12532
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2265
180.3 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
2725
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2902
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5577
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8680
67.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4411
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17481
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27004
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
27008
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3634
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4367
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2625
45.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4457
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4483
77.5 IPS |
