iPhone 16 Pro
Geekbench AI Score
5926
Single Precision Score
7252
Half Precision Score
6804
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:47 AM |
| 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% |
2980
554.3 IPS |
|
|
Image Classification (HP)
|
100% |
2914
542.0 IPS |
|
|
Image Classification (Q)
|
96% |
3027
565.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3798
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4958
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4791
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15061
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18239
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17443
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3361
266.6 IPS |
|
|
Object Detection (HP)
|
100% |
3592
284.9 IPS |
|
|
Object Detection (Q)
|
92% |
3377
269.6 IPS |
|
|
Face Detection (SP)
|
100% |
7061
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
10637
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
8501
101.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12824
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15311
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14113
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31999
41.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40983
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39859
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7626
281.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8527
314.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7413
273.7 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6160
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5999
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1172
20.3 IPS |
