iPhone 16 Pro
Geekbench AI Score
6204
Single Precision Score
7157
Half Precision Score
6858
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | TallonRain |
| Upload Date | July 29 2025 10:07 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2999
557.8 IPS |
|
|
Image Classification (HP)
|
100% |
2736
508.9 IPS |
|
|
Image Classification (Q)
|
96% |
3118
582.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4489
72.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4968
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4799
77.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15710
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17590
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17154
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3358
266.4 IPS |
|
|
Object Detection (HP)
|
100% |
3739
296.6 IPS |
|
|
Object Detection (Q)
|
92% |
3211
256.3 IPS |
|
|
Face Detection (SP)
|
100% |
7926
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
10959
130.2 IPS |
|
|
Face Detection (Q)
|
100% |
8753
104.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13583
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15522
119.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14176
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33289
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39738
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39381
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8056
297.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8304
306.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7669
283.2 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1272
22.0 IPS |
