iPhone 16 Pro
Geekbench AI Score
6009
Single Precision Score
7080
Half Precision Score
6685
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 07:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2970
552.3 IPS |
|
|
Image Classification (HP)
|
100% |
2801
520.9 IPS |
|
|
Image Classification (Q)
|
96% |
3129
584.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4268
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4877
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4730
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14999
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17896
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17112
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3310
262.5 IPS |
|
|
Object Detection (HP)
|
100% |
3303
262.0 IPS |
|
|
Object Detection (Q)
|
92% |
3161
252.3 IPS |
|
|
Face Detection (SP)
|
100% |
7283
86.5 IPS |
|
|
Face Detection (HP)
|
100% |
10549
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
8228
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12832
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15034
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13670
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31234
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39409
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38370
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7376
272.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8222
303.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6908
255.1 IPS |
|
|
Text Classification (SP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6140
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6105
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1225
21.2 IPS |
