iPhone 16
Geekbench AI Score
4397
Single Precision Score
4874
Half Precision Score
4597
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 10:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
920
171.1 IPS |
|
|
Image Classification (HP)
|
100% |
875
162.7 IPS |
|
|
Image Classification (Q)
|
96% |
766
143.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3699
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4081
66.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3857
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13078
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14542
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14154
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (Q)
|
92% |
1789
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
7006
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
9250
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
7104
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11212
86.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12258
94.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11351
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28755
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28845
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31971
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4481
165.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4638
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3323
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6020
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1121
19.4 IPS |
