iPhone18,2
Geekbench AI Score
5150
Single Precision Score
8360
Half Precision Score
6589
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
3712
690.2 IPS |
|
|
Image Classification (Q)
|
96% |
2471
461.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3015
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10915
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19329
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16550
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.3 IPS |
|
|
Object Detection (HP)
|
97% |
4140
329.6 IPS |
|
|
Object Detection (Q)
|
94% |
2872
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
4692
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4486
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8462
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14260
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10115
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24654
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38168
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31424
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5378
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7047
260.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6165
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5286
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9262
160.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9247
159.8 IPS |
