iPhone 16
Geekbench AI Score
4307
Single Precision Score
7284
Half Precision Score
5753
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 08 2025 08:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3215
597.8 IPS |
|
|
Image Classification (Q)
|
96% |
2222
415.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3115
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8099
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
16274
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13629
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2190
173.7 IPS |
|
|
Object Detection (HP)
|
97% |
3595
286.2 IPS |
|
|
Object Detection (Q)
|
94% |
2489
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6609
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3699
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7450
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12878
99.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8855
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19375
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35140
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26618
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4963
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4894
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6299
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6243
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6252
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6352
109.8 IPS |
