iPhone 16 Pro
Geekbench AI Score
6244
Single Precision Score
7013
Half Precision Score
6891
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 02:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3030
563.6 IPS |
|
|
Image Classification (HP)
|
100% |
2321
431.7 IPS |
|
|
Image Classification (Q)
|
96% |
3125
583.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15736
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17210
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17270
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3347
265.5 IPS |
|
|
Object Detection (HP)
|
100% |
3454
274.0 IPS |
|
|
Object Detection (Q)
|
92% |
3276
261.5 IPS |
|
|
Face Detection (SP)
|
100% |
8147
96.8 IPS |
|
|
Face Detection (HP)
|
100% |
11097
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
8864
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14087
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15664
120.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13978
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32518
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39067
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40037
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8075
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8219
303.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7585
280.1 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5976
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5936
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1295
22.4 IPS |
