iPhone18,2
Geekbench AI Score
5035
Single Precision Score
8155
Half Precision Score
6449
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:42 AM |
| 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% |
2288
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
3647
678.2 IPS |
|
|
Image Classification (Q)
|
96% |
2447
456.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3367
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10260
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18418
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15583
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2584
205.0 IPS |
|
|
Object Detection (HP)
|
97% |
4069
324.0 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4398
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
8299
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
4254
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8168
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13878
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9803
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23725
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36738
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30377
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5394
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6834
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4865
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6321
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5150
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8665
149.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9063
156.6 IPS |
