iPhone18,2
Geekbench AI Score
4832
Single Precision Score
8037
Half Precision Score
6243
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | September 19 2025 07:37 PM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.13 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
3601
669.7 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3130
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9129
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17468
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14668
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (HP)
|
97% |
3904
310.8 IPS |
|
|
Object Detection (Q)
|
94% |
2599
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
4172
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
7875
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4016
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8171
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13503
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9584
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23461
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37089
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30213
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5278
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6862
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6399
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5158
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9214
159.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9281
160.4 IPS |
