iPhone 16
Geekbench AI Score
4572
Single Precision Score
4905
Half Precision Score
4600
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
876
162.8 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.0 IPS |
|
|
Image Classification (Q)
|
96% |
846
157.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3940
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4130
67.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3924
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13065
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14590
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14183
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2081
165.1 IPS |
|
|
Object Detection (HP)
|
100% |
1628
129.1 IPS |
|
|
Object Detection (Q)
|
92% |
1529
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
7032
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
9252
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
7207
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11292
87.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12144
93.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11050
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28895
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32418
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31461
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3805
140.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3253
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6293
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6244
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1160
20.0 IPS |
