iPhone 16 Pro
Geekbench AI Score
4491
Single Precision Score
7625
Half Precision Score
6090
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Cifra45 |
| Upload Date | July 31 2025 04:53 PM |
| Views | 8 |
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% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8684
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17323
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14618
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.7 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2591
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
3767
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
7407
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4052
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7837
60.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13675
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9605
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19317
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35720
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29688
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6946
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5888
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4159
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7262
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7211
124.6 IPS |
