iPhone18,2
Geekbench AI Score
9139
Single Precision Score
17128
Half Precision Score
17648
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 01:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4234
787.4 IPS |
|
|
Image Classification (HP)
|
100% |
8172
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7602
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6124
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9651
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10621
172.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20457
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54487
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59364
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8137
645.5 IPS |
|
|
Object Detection (Q)
|
93% |
8085
645.0 IPS |
|
|
Face Detection (SP)
|
100% |
11974
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
23313
277.0 IPS |
|
|
Face Detection (Q)
|
100% |
18083
214.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18137
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35650
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39254
306.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44094
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95876
123.2 IPS |
|
|
Style Transfer (Q)
|
96% |
120844
155.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10435
385.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19968
737.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22715
838.8 IPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6442
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4928
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6063
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6042
104.4 IPS |
