iPhone 16 Pro
Geekbench AI Score
6106
Single Precision Score
7292
Half Precision Score
6894
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 09:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3027
562.9 IPS |
|
|
Image Classification (HP)
|
100% |
3063
569.7 IPS |
|
|
Image Classification (Q)
|
96% |
3183
594.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4417
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5028
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4817
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15258
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18499
21.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17683
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
3405
270.1 IPS |
|
|
Object Detection (HP)
|
100% |
3509
278.3 IPS |
|
|
Object Detection (Q)
|
92% |
3291
262.7 IPS |
|
|
Face Detection (SP)
|
100% |
7469
88.7 IPS |
|
|
Face Detection (HP)
|
100% |
10901
129.5 IPS |
|
|
Face Detection (Q)
|
100% |
8585
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13085
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15386
118.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14057
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31659
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39837
51.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39409
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7593
280.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8226
303.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7137
263.5 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6165
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6261
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1280
22.1 IPS |
