iPhone 16 Pro
Geekbench AI Score
4575
Single Precision Score
33293
Half Precision Score
45146
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 14 2025 11:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
14681
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18888
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18127
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23682
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8650
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
145587
169.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290534
340.5 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
15546
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21542
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
40610
482.5 IPS |
|
|
Face Detection (Q)
|
100% |
54704
650.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8042
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94236
726.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
147437
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
21669
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244723
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299876
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51359
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80721
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6117
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6119
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4177
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9443
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10517
181.7 IPS |
