iPhone18,2
Geekbench AI Score
5204
Single Precision Score
8426
Half Precision Score
6667
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 03:30 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2346
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
3771
701.4 IPS |
|
|
Image Classification (Q)
|
96% |
2513
469.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10725
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19535
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16600
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (HP)
|
97% |
4207
334.9 IPS |
|
|
Object Detection (Q)
|
94% |
2915
232.3 IPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8523
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4484
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8611
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14426
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10281
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25303
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39545
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32561
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5687
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5004
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6065
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5918
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9339
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9368
161.9 IPS |
