iPhone 16 Pro
Geekbench AI Score
5978
Single Precision Score
7040
Half Precision Score
6662
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:26 PM |
| Views | 1 |
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% |
2705
503.0 IPS |
|
|
Image Classification (HP)
|
100% |
2735
508.6 IPS |
|
|
Image Classification (Q)
|
96% |
3038
567.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4364
70.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4929
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4745
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15193
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18021
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17253
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3372
267.5 IPS |
|
|
Object Detection (HP)
|
100% |
3375
267.7 IPS |
|
|
Object Detection (Q)
|
92% |
3190
254.7 IPS |
|
|
Face Detection (SP)
|
100% |
7637
90.7 IPS |
|
|
Face Detection (HP)
|
100% |
10732
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
8492
100.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12986
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14998
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13672
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30907
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38388
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39135
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7525
277.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8132
300.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6969
257.3 IPS |
|
|
Text Classification (SP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1177
20.3 IPS |
