iPhone 16 Pro
Geekbench AI Score
4435
Single Precision Score
7673
Half Precision Score
6117
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | March 21 2025 03:17 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.2 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8576
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17482
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14937
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.2 IPS |
|
|
Object Detection (HP)
|
97% |
3809
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2629
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7468
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4139
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7427
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13843
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9602
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23352
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36399
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29900
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6911
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7079
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7036
121.6 IPS |
