iPhone 16 Pro
Geekbench AI Score
6253
Single Precision Score
7186
Half Precision Score
6897
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | joshblau95 |
| Upload Date | July 23 2025 07:55 AM |
| Views | 18 |
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% |
3093
575.2 IPS |
|
|
Image Classification (HP)
|
100% |
2773
515.8 IPS |
|
|
Image Classification (Q)
|
96% |
3136
585.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4544
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5025
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4851
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15874
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17629
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17332
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3260
258.6 IPS |
|
|
Object Detection (HP)
|
100% |
3558
282.2 IPS |
|
|
Object Detection (Q)
|
92% |
3263
260.5 IPS |
|
|
Face Detection (SP)
|
100% |
7925
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
11082
131.7 IPS |
|
|
Face Detection (Q)
|
100% |
8834
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13704
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15123
116.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14254
111.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33548
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39068
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39211
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8150
300.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8417
310.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7670
283.2 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5888
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1271
22.0 IPS |
