iPhone 16 Pro
Geekbench AI Score
6079
Single Precision Score
7137
Half Precision Score
6742
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 08:00 AM |
| Views | 2 |
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% |
2937
546.2 IPS |
|
|
Image Classification (HP)
|
100% |
2802
521.1 IPS |
|
|
Image Classification (Q)
|
96% |
3153
588.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4415
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4951
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4759
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15196
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18008
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17131
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3156
250.4 IPS |
|
|
Object Detection (HP)
|
100% |
3408
270.3 IPS |
|
|
Object Detection (Q)
|
92% |
3188
254.5 IPS |
|
|
Face Detection (SP)
|
100% |
7514
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
10658
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
8367
99.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13106
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15164
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14360
112.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31238
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39337
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37362
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7541
278.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8220
303.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7088
261.7 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6098
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1224
21.2 IPS |
