iPhone18,2
Geekbench AI Score
5133
Single Precision Score
8342
Half Precision Score
6581
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:29 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
3751
697.5 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3451
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10357
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19105
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16017
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
97% |
4162
331.3 IPS |
|
|
Object Detection (Q)
|
94% |
2863
228.2 IPS |
|
|
Face Detection (SP)
|
100% |
4593
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8443
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4396
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14163
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10003
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24536
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37817
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30833
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6816
251.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4914
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6322
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6276
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9378
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9287
160.5 IPS |
