iPhone 16 Pro
Geekbench AI Score
6101
Single Precision Score
7258
Half Precision Score
6833
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 10:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
3017
561.0 IPS |
|
|
Image Classification (HP)
|
100% |
2890
537.5 IPS |
|
|
Image Classification (Q)
|
96% |
3227
602.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4950
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4764
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15207
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18048
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17222
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3156
250.4 IPS |
|
|
Object Detection (HP)
|
100% |
3697
293.3 IPS |
|
|
Object Detection (Q)
|
92% |
3212
256.4 IPS |
|
|
Face Detection (SP)
|
100% |
7523
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
10650
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
8629
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13031
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15270
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13809
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31489
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39411
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38754
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7587
280.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8324
307.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7171
264.8 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6196
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1293
22.3 IPS |
