iPhone 16 Pro
Geekbench AI Score
4287
Single Precision Score
7531
Half Precision Score
5910
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | December 27 2024 03:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1916
356.4 IPS |
|
|
Image Classification (HP)
|
100% |
3303
614.2 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3231
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7953
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
16339
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14054
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2028
160.9 IPS |
|
|
Object Detection (HP)
|
97% |
3729
296.9 IPS |
|
|
Object Detection (Q)
|
94% |
2561
204.1 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
7241
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
3992
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7068
54.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13653
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9305
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22607
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35410
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29198
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6839
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4582
169.2 IPS |
|
|
Text Classification (SP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5984
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6978
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7004
121.0 IPS |
