iPhone 16 Pro
Geekbench AI Score
4496
Single Precision Score
7692
Half Precision Score
6055
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 11:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2088
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3416
635.3 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2839
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8690
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17023
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14539
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
97% |
3748
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2557
203.8 IPS |
|
|
Face Detection (SP)
|
100% |
3866
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7405
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7719
59.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13808
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9324
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19101
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35602
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29376
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7220
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5042
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
6069
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7352
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7405
128.0 IPS |
