iPhone18,2
Geekbench AI Score
5080
Single Precision Score
8330
Half Precision Score
6544
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Chaunton |
| Upload Date | December 28 2025 06:48 AM |
| Views | 10 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.3 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3416
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10453
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19073
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15958
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2604
206.5 IPS |
|
|
Object Detection (HP)
|
97% |
4181
332.8 IPS |
|
|
Object Detection (Q)
|
94% |
2860
227.9 IPS |
|
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8436
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4365
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14200
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10077
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24543
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37780
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30968
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5346
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4916
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6105
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6048
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5278
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9325
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9191
158.8 IPS |
