iPhone 16
Geekbench AI Score
4564
Single Precision Score
5286
Half Precision Score
4938
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Osoczer |
| Upload Date | March 05 2026 08:08 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
1224
227.7 IPS |
|
|
Image Classification (Q)
|
96% |
774
144.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3721
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3860
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3476
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12980
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14350
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14004
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.3 IPS |
|
|
Object Detection (HP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (Q)
|
91% |
2672
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
7517
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
8798
104.5 IPS |
|
|
Face Detection (Q)
|
100% |
8336
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11095
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11777
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11158
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28602
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32526
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31850
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4119
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6068
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6027
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
