iPhone18,2
Geekbench AI Score
5069
Single Precision Score
36106
Half Precision Score
49189
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 15 2025 11:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2312
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
16187
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21493
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20072
325.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25614
415.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9716
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152518
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
297378
348.5 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
17282
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25025
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
41095
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
52396
622.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8398
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104846
807.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
165126
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24486
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259390
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350751
452.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5534
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56892
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86603
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6396
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6352
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10812
186.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12127
209.6 IPS |
