iPhone 16
Geekbench AI Score
4121
Single Precision Score
6806
Half Precision Score
5446
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 12:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
3296
612.9 IPS |
|
|
Image Classification (Q)
|
96% |
2241
418.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2962
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7678
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15279
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12984
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.4 IPS |
|
|
Object Detection (HP)
|
97% |
3523
280.5 IPS |
|
|
Object Detection (Q)
|
94% |
2455
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5197
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
3070
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6614
51.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
12118
93.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8366
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17522
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31932
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26542
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4533
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6616
244.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4626
170.8 IPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6007
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5922
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3815
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5518
95.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5818
100.5 IPS |
