iPhone 16 Pro
Geekbench AI Score
6019
Single Precision Score
7080
Half Precision Score
6873
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 29 2025 06:31 PM |
| Views | 8 |
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% |
2809
522.3 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.9 IPS |
|
|
Image Classification (Q)
|
96% |
3085
576.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4369
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4645
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15034
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17389
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17330
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3091
245.2 IPS |
|
|
Object Detection (HP)
|
100% |
3331
264.2 IPS |
|
|
Object Detection (Q)
|
92% |
3197
255.2 IPS |
|
|
Face Detection (SP)
|
100% |
7561
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
10914
129.7 IPS |
|
|
Face Detection (Q)
|
100% |
8821
104.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13588
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15823
121.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
14730
115.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31726
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40497
52.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39408
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7470
275.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8098
299.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7083
261.5 IPS |
|
|
Text Classification (SP)
|
100% |
3750
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6231
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6116
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1337
23.1 IPS |
