iPhone18,2
Geekbench AI Score
5168
Single Precision Score
8415
Half Precision Score
6637
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jamesjingyi |
| Upload Date | October 23 2025 12:12 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% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
3732
694.1 IPS |
|
|
Image Classification (Q)
|
96% |
2482
463.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3445
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10679
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19454
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16373
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
97% |
4202
334.5 IPS |
|
|
Object Detection (Q)
|
94% |
2885
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
4616
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8488
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4444
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8556
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14340
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10231
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24883
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38595
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31825
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5629
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6195
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5934
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9516
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9520
164.5 IPS |
