iPhone18,2
Geekbench AI Score
5063
Single Precision Score
8269
Half Precision Score
6535
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:48 AM |
| Views | 4 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
3639
676.7 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3408
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10279
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18383
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15831
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
4125
328.4 IPS |
|
|
Object Detection (Q)
|
94% |
2762
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
8245
98.0 IPS |
|
|
Face Detection (Q)
|
100% |
4178
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13903
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9664
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23771
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37301
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30802
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5534
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3570
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6504
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6417
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5186
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9354
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9698
167.6 IPS |
