iPhone18,2
Geekbench AI Score
4997
Single Precision Score
8172
Half Precision Score
6372
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.11 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2270
422.2 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.7 IPS |
|
|
Image Classification (Q)
|
96% |
2450
457.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3315
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9334
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17529
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14686
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
97% |
4012
319.4 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
8017
95.3 IPS |
|
|
Face Detection (Q)
|
100% |
4165
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13842
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9569
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23979
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36939
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30578
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5399
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6470
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6439
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5203
89.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9473
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8968
155.0 IPS |
