iPhone18,2
Geekbench AI Score
4987
Single Precision Score
8132
Half Precision Score
6321
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 07:36 AM |
| Views | 13 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2275
423.1 IPS |
|
|
Image Classification (HP)
|
100% |
3753
697.9 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3205
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9837
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17672
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14738
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2433
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
4016
319.7 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4160
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7993
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
4115
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8268
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13685
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9710
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23639
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36793
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29975
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5484
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6777
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4881
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6478
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6418
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8911
154.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8529
147.4 IPS |
