iPhone 16 Pro
Geekbench AI Score
6035
Single Precision Score
7196
Half Precision Score
6719
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 04:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3005
558.9 IPS |
|
|
Image Classification (HP)
|
100% |
3105
577.3 IPS |
|
|
Image Classification (Q)
|
96% |
3208
599.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4402
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4939
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4750
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15168
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18085
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17030
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3106
246.4 IPS |
|
|
Object Detection (HP)
|
100% |
3373
267.6 IPS |
|
|
Object Detection (Q)
|
92% |
3175
253.5 IPS |
|
|
Face Detection (SP)
|
100% |
7372
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
10714
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
8460
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13304
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15231
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13999
109.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31146
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39502
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38254
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7466
275.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8233
304.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6820
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6171
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6140
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1201
20.8 IPS |
