iPhone18,2
Geekbench AI Score
5168
Single Precision Score
8377
Half Precision Score
6651
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:18 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
3732
694.1 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10717
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19278
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16500
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4165
331.6 IPS |
|
|
Object Detection (Q)
|
94% |
2901
231.2 IPS |
|
|
Face Detection (SP)
|
100% |
4671
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8566
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4537
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8453
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14247
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10155
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24736
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38039
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31461
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5656
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6967
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4964
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6086
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6058
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5256
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9597
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9582
165.6 IPS |
