iPhone 16 Pro
Geekbench AI Score
4563
Single Precision Score
7748
Half Precision Score
6174
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 03:58 PM |
| Views | 3 |
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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.3 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3284
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8723
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17638
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15040
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3729
296.9 IPS |
|
|
Object Detection (Q)
|
94% |
2647
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7474
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4161
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8048
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14073
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9720
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19833
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37486
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30550
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7337
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5123
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5910
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5850
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7354
127.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7311
126.3 IPS |
