iPhone 16 Pro
Geekbench AI Score
6108
Single Precision Score
7103
Half Precision Score
6853
Quantized Score
Geekbench AI 1.4.0 Corporate for iOS AArch64
Result Information
| Upload Date | June 25 2025 12:45 AM |
| Views | 2 |
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% |
2859
531.8 IPS |
|
|
Image Classification (HP)
|
100% |
2471
459.5 IPS |
|
|
Image Classification (Q)
|
96% |
3239
604.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4467
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4926
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4771
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15590
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17313
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17247
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3169
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
3641
288.8 IPS |
|
|
Object Detection (Q)
|
92% |
3151
251.5 IPS |
|
|
Face Detection (SP)
|
100% |
7735
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
11076
131.6 IPS |
|
|
Face Detection (Q)
|
100% |
8797
104.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13908
107.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15554
119.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13721
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32575
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39937
51.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39480
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8147
300.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8275
305.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7657
282.7 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6002
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1243
21.5 IPS |
