iPhone18,2
Geekbench AI Score
4961
Single Precision Score
8132
Half Precision Score
6341
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 07:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
3774
701.8 IPS |
|
|
Image Classification (Q)
|
96% |
2474
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3301
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9700
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17765
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14924
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
97% |
4062
323.4 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
4207
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7781
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4006
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8121
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13577
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9449
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23207
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37015
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30138
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6853
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4881
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6391
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6398
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5229
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9183
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9195
158.9 IPS |
