iPhone18,2
Geekbench AI Score
9103
Single Precision Score
16535
Half Precision Score
17111
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 03:21 AM |
| Views | 1 |
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% |
4131
768.2 IPS |
|
|
Image Classification (HP)
|
100% |
8076
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7502
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6083
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9597
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10544
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20383
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54245
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58895
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8083
641.1 IPS |
|
|
Object Detection (Q)
|
93% |
8050
642.2 IPS |
|
|
Face Detection (SP)
|
100% |
11860
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
23105
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17985
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35566
274.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38738
302.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43458
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
95890
123.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119766
154.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10413
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18784
693.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22400
827.1 IPS |
|
|
Text Classification (SP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6370
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4736
81.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4825
83.4 IPS |
