iPhone 16
Geekbench AI Score
4225
Single Precision Score
7286
Half Precision Score
5747
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | felixalex2025 |
| Upload Date | June 02 2025 04:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3198
594.6 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3196
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8232
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
16913
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14217
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2186
173.4 IPS |
|
|
Object Detection (HP)
|
97% |
3655
291.0 IPS |
|
|
Object Detection (Q)
|
94% |
2471
197.0 IPS |
|
|
Face Detection (SP)
|
100% |
3427
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6652
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3751
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7423
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13022
100.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8917
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17601
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35257
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28537
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4850
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5997
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5894
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5916
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5856
101.2 IPS |
