iPhone 16 Pro
Geekbench AI Score
6197
Single Precision Score
6996
Half Precision Score
6903
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | October 07 2025 12:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2964
551.3 IPS |
|
|
Image Classification (HP)
|
100% |
2125
395.1 IPS |
|
|
Image Classification (Q)
|
96% |
3097
578.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4484
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4936
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4747
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15837
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17451
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17168
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3231
256.3 IPS |
|
|
Object Detection (HP)
|
100% |
3519
279.2 IPS |
|
|
Object Detection (Q)
|
92% |
3446
275.1 IPS |
|
|
Face Detection (SP)
|
100% |
8286
98.5 IPS |
|
|
Face Detection (HP)
|
100% |
11183
132.9 IPS |
|
|
Face Detection (Q)
|
100% |
9038
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14160
109.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15731
121.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13903
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32889
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39767
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39832
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8098
299.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8272
305.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7584
280.0 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5888
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1273
22.0 IPS |
