iPhone 16 Pro
Geekbench AI Score
6203
Single Precision Score
7298
Half Precision Score
6958
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 11:50 AM |
| Views | 3 |
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% |
3036
564.7 IPS |
|
|
Image Classification (HP)
|
100% |
2791
519.0 IPS |
|
|
Image Classification (Q)
|
96% |
3194
596.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4464
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5053
81.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4899
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15304
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18238
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17952
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
3251
257.8 IPS |
|
|
Object Detection (HP)
|
100% |
3518
279.1 IPS |
|
|
Object Detection (Q)
|
92% |
3266
260.7 IPS |
|
|
Face Detection (SP)
|
100% |
7739
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
11267
133.9 IPS |
|
|
Face Detection (Q)
|
100% |
8900
105.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13798
106.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16185
124.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14217
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32042
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40465
52.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40222
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7621
281.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8268
305.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7318
270.2 IPS |
|
|
Text Classification (SP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6118
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1273
22.0 IPS |
