iPhone 16 Pro
Geekbench AI Score
4712
Single Precision Score
7884
Half Precision Score
6340
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 10:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
3505
651.9 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3329
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9453
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18371
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15436
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7218
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4172
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8259
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13839
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9711
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23054
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38610
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31412
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5671
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6120
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6266
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7933
137.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7970
137.7 IPS |
