iPhone 16 Pro
Geekbench AI Score
4594
Single Precision Score
7837
Half Precision Score
6233
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | September 08 2025 10:11 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.4 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3331
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9197
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18000
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15413
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3923
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7598
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4192
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8176
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14393
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9758
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19866
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37095
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30177
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7286
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5129
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5982
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4143
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7575
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7356
127.1 IPS |
