iPhone 16
Geekbench AI Score
4276
Single Precision Score
4733
Half Precision Score
4618
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 04:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
825
153.4 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (Q)
|
96% |
767
143.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3623
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3909
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3793
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13548
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13780
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13702
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.3 IPS |
|
|
Object Detection (HP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (Q)
|
92% |
1465
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
6913
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
9178
109.1 IPS |
|
|
Face Detection (Q)
|
100% |
7220
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11453
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11566
89.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11251
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29460
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32481
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31553
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3666
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3633
134.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4453
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5984
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6007
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1102
19.0 IPS |
