iPhone 16 Pro
Geekbench AI Score
2989
Single Precision Score
3556
Half Precision Score
3337
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | October 09 2025 05:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3082
573.2 IPS |
|
|
Image Classification (HP)
|
100% |
3054
568.0 IPS |
|
|
Image Classification (Q)
|
96% |
3267
610.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4384
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4750
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15153
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18012
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17431
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3334
264.4 IPS |
|
|
Object Detection (HP)
|
100% |
3718
294.9 IPS |
|
|
Object Detection (Q)
|
92% |
3188
254.5 IPS |
|
|
Face Detection (SP)
|
100% |
7417
88.1 IPS |
|
|
Face Detection (HP)
|
100% |
10624
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
8335
99.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12876
99.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15115
116.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14041
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31148
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39364
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38272
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7505
277.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8179
302.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7221
266.6 IPS |
|
|
Text Classification (SP)
|
100% |
3746
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6199
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6157
8.26 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
10.00 IPS |
|
|
Machine Translation (HP)
|
0% |
0
9.81 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.05 IPS |
