iPhone18,2
Geekbench AI Score
9032
Single Precision Score
16387
Half Precision Score
16953
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Outrun9430 |
| Upload Date | October 05 2025 04:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4203
781.6 IPS |
|
|
Image Classification (HP)
|
100% |
8070
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7538
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6022
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9484
153.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10475
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20196
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53493
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58198
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8035
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11542
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
22951
272.7 IPS |
|
|
Face Detection (Q)
|
100% |
17738
210.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17940
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35501
273.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37921
296.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43396
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
95621
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119258
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18697
690.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22331
824.6 IPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6217
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6187
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4960
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4793
82.8 IPS |
