iPhone 16
Geekbench AI Score
4433
Single Precision Score
4999
Half Precision Score
4887
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:21 AM |
| Views | 3 |
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% |
889
165.3 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (Q)
|
96% |
853
159.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3680
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4111
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3959
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13062
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14552
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14181
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (HP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (Q)
|
92% |
2007
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
7121
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
9255
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
7175
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11240
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12129
93.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11374
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28864
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32309
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31513
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4709
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4336
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6239
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6210
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1169
20.2 IPS |
