iPhone 16 Pro
Geekbench AI Score
4690
Single Precision Score
33387
Half Precision Score
45137
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2033
378.0 IPS |
|
|
Image Classification (HP)
|
100% |
14586
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18900
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18106
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23583
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9218
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152451
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293374
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
15901
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21405
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
40060
476.0 IPS |
|
|
Face Detection (Q)
|
100% |
53952
641.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95445
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
157972
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
22832
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244848
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296338
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52269
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80341
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3715
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6236
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6242
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4167
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8812
151.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9902
171.1 IPS |
