iPhone 16 Pro
Geekbench AI Score
4675
Single Precision Score
7831
Half Precision Score
6288
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2037
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
3418
635.7 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3287
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9414
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18459
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15547
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3733
297.2 IPS |
|
|
Object Detection (Q)
|
94% |
2629
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
7095
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
4132
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8198
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13788
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9687
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22816
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37780
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30627
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7175
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
3722
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6247
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6330
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4199
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7778
134.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7808
134.9 IPS |
