iPhone 16 Pro
Geekbench AI Score
6003
Single Precision Score
7095
Half Precision Score
6656
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 05 2025 12:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2934
545.7 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.7 IPS |
|
|
Image Classification (Q)
|
96% |
3098
578.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4289
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4850
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4697
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15061
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17493
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16771
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3095
245.5 IPS |
|
|
Object Detection (HP)
|
100% |
3351
265.8 IPS |
|
|
Object Detection (Q)
|
92% |
2938
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
7406
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
10483
124.6 IPS |
|
|
Face Detection (Q)
|
100% |
8209
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12870
99.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14880
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13824
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31213
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38013
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38081
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7509
277.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8180
302.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7068
261.0 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6231
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6100
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1278
22.1 IPS |
