iPhone 16 Pro
Geekbench AI Score
4643
Single Precision Score
33509
Half Precision Score
44979
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 10:53 AM |
| 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% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
14936
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
18109
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18126
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23692
384.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9144
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152457
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292157
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
100% |
15560
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21162
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
40557
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
54441
646.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94514
728.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
150676
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
22189
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245817
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296551
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5420
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51110
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81328
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6155
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6074
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4165
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9376
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10634
183.8 IPS |
