iPhone 16
Geekbench AI Score
4548
Single Precision Score
4839
Half Precision Score
4699
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | November 04 2025 06:04 AM |
| Views | 4 |
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% |
856
159.2 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.2 IPS |
|
|
Image Classification (Q)
|
96% |
695
129.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3936
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4117
66.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3956
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13054
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14522
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14193
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (Q)
|
92% |
1666
133.0 IPS |
|
|
Face Detection (SP)
|
100% |
7009
83.3 IPS |
|
|
Face Detection (HP)
|
100% |
9205
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
7060
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11254
86.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12064
92.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11358
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28850
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32305
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31669
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3554
131.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4355
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6201
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6232
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1172
20.3 IPS |
