iPhone 16 Pro
Geekbench AI Score
4637
Single Precision Score
7788
Half Precision Score
6212
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | TSTR |
| Upload Date | July 13 2025 01:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
3485
648.2 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3276
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9083
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17888
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14887
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3706
295.0 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7166
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4100
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7819
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13748
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9550
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22422
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37851
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30895
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5535
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5142
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
3713
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6073
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5960
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7741
133.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7749
133.9 IPS |
