iPhone 16 Pro
Geekbench AI Score
6010
Single Precision Score
7210
Half Precision Score
6764
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 14 2025 11:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3000
557.9 IPS |
|
|
Image Classification (HP)
|
100% |
3017
561.1 IPS |
|
|
Image Classification (Q)
|
96% |
3183
594.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4905
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4726
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15139
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17893
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17134
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3103
246.2 IPS |
|
|
Object Detection (HP)
|
100% |
3381
268.2 IPS |
|
|
Object Detection (Q)
|
92% |
3153
251.7 IPS |
|
|
Face Detection (SP)
|
100% |
7357
87.4 IPS |
|
|
Face Detection (HP)
|
100% |
10579
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
8424
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13239
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15118
116.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14107
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31498
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39851
51.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37831
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7546
278.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8176
301.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7059
260.6 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6225
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6062
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1283
22.2 IPS |
