iPhone 16 Pro
Geekbench AI Score
4543
Single Precision Score
33337
Half Precision Score
45155
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:38 PM |
| Views | 3 |
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% |
2051
381.3 IPS |
|
|
Image Classification (HP)
|
100% |
14827
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
19187
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18130
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23746
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8033
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
144310
168.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
277691
325.5 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
15482
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21638
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
40159
477.2 IPS |
|
|
Face Detection (Q)
|
100% |
54494
647.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7951
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94232
726.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
151471
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
21575
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244683
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294650
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52756
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80855
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6129
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6114
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4161
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9429
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10708
185.1 IPS |
