iPhone 16
Geekbench AI Score
4288
Single Precision Score
7292
Half Precision Score
5814
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 04:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
3303
614.2 IPS |
|
|
Image Classification (Q)
|
96% |
2242
418.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3197
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8150
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
16412
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13874
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
97% |
3605
287.0 IPS |
|
|
Object Detection (Q)
|
94% |
2506
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
6442
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
3720
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7295
56.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12883
99.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8945
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18087
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34194
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28233
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4817
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6257
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6224
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6271
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6290
108.7 IPS |
