iPhone18,2
Geekbench AI Score
4937
Single Precision Score
8012
Half Precision Score
6351
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 07:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2329
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
2455
458.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9472
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17789
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15020
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
97% |
3896
310.1 IPS |
|
|
Object Detection (Q)
|
94% |
2610
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
4201
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7853
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
3983
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8105
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13313
102.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9366
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23505
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36912
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30000
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6663
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4840
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6400
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5105
87.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8756
151.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9849
170.2 IPS |
