iPhone 16 Pro
Geekbench AI Score
4567
Single Precision Score
7750
Half Precision Score
6173
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dronpancholi |
| Upload Date | July 11 2025 04:34 AM |
| 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% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
3406
633.3 IPS |
|
|
Image Classification (Q)
|
96% |
2261
422.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8903
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17670
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15074
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7426
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4106
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7943
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13943
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9632
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19688
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36674
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30119
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5172
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7169
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5047
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5955
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6049
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4288
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7303
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7350
127.0 IPS |
