iPhone 16 Pro
Geekbench AI Score
4499
Single Precision Score
7735
Half Precision Score
6142
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 06:33 AM |
| 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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.2 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8832
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17525
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14806
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2625
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7406
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
3949
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7417
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13596
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9538
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19246
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36663
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30032
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5185
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7363
271.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5139
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5987
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6049
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4168
71.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7402
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7363
127.2 IPS |
