iPhone 16 Pro
Geekbench AI Score
4465
Single Precision Score
7626
Half Precision Score
6038
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2034
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
3491
649.3 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8603
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16901
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14269
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3707
295.1 IPS |
|
|
Object Detection (Q)
|
94% |
2547
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6830
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3987
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7752
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13258
102.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9074
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20300
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35721
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28332
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5191
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7152
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4909
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6469
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6386
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7164
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7272
125.7 IPS |
