iPhone 16 Pro
Geekbench AI Score
6176
Single Precision Score
7165
Half Precision Score
7530
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 11:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2986
555.3 IPS |
|
|
Image Classification (HP)
|
100% |
2396
445.5 IPS |
|
|
Image Classification (Q)
|
96% |
3153
588.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4451
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5013
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4843
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15238
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18145
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17630
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
3240
257.0 IPS |
|
|
Object Detection (HP)
|
100% |
3481
276.1 IPS |
|
|
Object Detection (Q)
|
92% |
3265
260.6 IPS |
|
|
Face Detection (SP)
|
100% |
7866
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
11155
132.5 IPS |
|
|
Face Detection (Q)
|
100% |
9042
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13719
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16250
125.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
15117
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31921
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40115
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39956
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7643
282.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8207
303.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7233
267.1 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6282
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6072
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2783
48.1 IPS |
