iPhone 16 Pro
Geekbench AI Score
4303
Single Precision Score
7515
Half Precision Score
5903
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1948
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.4 IPS |
|
|
Image Classification (Q)
|
96% |
2230
416.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3210
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7990
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
16682
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14232
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2031
161.1 IPS |
|
|
Object Detection (HP)
|
97% |
3692
293.9 IPS |
|
|
Object Detection (Q)
|
94% |
2580
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
7226
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
3951
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13337
103.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9139
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22218
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35126
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28439
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5187
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6755
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4661
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6014
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6996
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6957
120.2 IPS |
