iPhone 16 Pro
Geekbench AI Score
4599
Single Precision Score
8025
Half Precision Score
6333
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 26 2026 03:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
3431
638.0 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3183
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7013
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
16053
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13974
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3574
284.5 IPS |
|
|
Object Detection (Q)
|
94% |
2539
202.4 IPS |
|
|
Face Detection (SP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
6873
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3864
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7037
54.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13077
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9073
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19109
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34743
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28706
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7185
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4921
181.7 IPS |
|
|
Text Classification (SP)
|
99% |
7340
9.80 KIPS |
|
|
Text Classification (HP)
|
99% |
12214
16.3 KIPS |
|
|
Text Classification (Q)
|
93% |
11509
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4060
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7296
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7077
122.3 IPS |
