iPhone 16 Pro
Geekbench AI Score
5987
Single Precision Score
7385
Half Precision Score
7020
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rossivr771 |
| Upload Date | October 09 2025 01:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3209
596.8 IPS |
|
|
Image Classification (HP)
|
100% |
2946
548.0 IPS |
|
|
Image Classification (Q)
|
96% |
3134
585.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4212
68.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4834
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4700
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14895
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17385
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16866
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3151
249.9 IPS |
|
|
Object Detection (HP)
|
100% |
3740
296.7 IPS |
|
|
Object Detection (Q)
|
92% |
3322
265.2 IPS |
|
|
Face Detection (SP)
|
100% |
7100
84.4 IPS |
|
|
Face Detection (HP)
|
100% |
10359
123.1 IPS |
|
|
Face Detection (Q)
|
100% |
7120
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11457
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13391
103.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12568
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27512
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37462
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37931
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7505
277.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8419
310.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7662
282.9 IPS |
|
|
Text Classification (SP)
|
100% |
3351
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2216
38.3 IPS |
