iPhone18,2
Geekbench AI Score
5127
Single Precision Score
8367
Half Precision Score
6590
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EPMandBI |
| Upload Date | November 01 2025 09:22 PM |
| Views | 6 |
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% |
2337
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3068
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10550
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19319
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16407
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
97% |
4169
331.9 IPS |
|
|
Object Detection (Q)
|
94% |
2855
227.6 IPS |
|
|
Face Detection (SP)
|
100% |
4597
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8454
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4276
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8357
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14209
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10006
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24547
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37695
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31375
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6042
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6083
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9565
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9552
165.1 IPS |
