iPhone 16
Geekbench AI Score
4476
Single Precision Score
7586
Half Precision Score
6057
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | March 22 2025 02:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2050
381.3 IPS |
|
|
Image Classification (HP)
|
100% |
3232
601.0 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3247
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9151
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18690
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15606
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
97% |
3741
297.8 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6968
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
4068
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8117
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14308
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9942
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19248
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37972
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30720
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7263
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5871
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5836
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3967
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6106
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6116
105.7 IPS |
