iPhone18,2
Geekbench AI Score
5160
Single Precision Score
8419
Half Precision Score
6709
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:37 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
3763
699.7 IPS |
|
|
Image Classification (Q)
|
96% |
2482
463.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3001
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10577
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19610
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16689
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
97% |
4211
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2910
232.0 IPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4450
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8607
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14382
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10237
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24488
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39467
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32206
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5687
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7011
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5956
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6276
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5300
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9506
164.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9652
166.8 IPS |
