iPhone18,2
Geekbench AI Score
5098
Single Precision Score
8297
Half Precision Score
6533
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | checcobai |
| Upload Date | September 27 2025 09:50 PM |
| Views | 7 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.2 IPS |
|
|
Image Classification (HP)
|
100% |
3677
683.8 IPS |
|
|
Image Classification (Q)
|
96% |
2455
458.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3106
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3448
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18112
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15889
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
97% |
4127
328.6 IPS |
|
|
Object Detection (Q)
|
94% |
2741
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
8315
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
4260
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8402
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14072
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9905
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23924
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37721
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30802
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5436
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6972
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4974
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6405
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6614
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5256
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9190
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8995
155.4 IPS |
