iPhone18,2
Geekbench AI Score
9095
Single Precision Score
16576
Half Precision Score
17113
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | October 16 2025 08:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4273
794.7 IPS |
|
|
Image Classification (HP)
|
100% |
8112
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7558
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6070
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9548
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10546
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20336
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54015
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59563
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8068
640.0 IPS |
|
|
Object Detection (Q)
|
93% |
8033
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
11520
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
23118
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
18167
215.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17998
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35427
272.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38297
299.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43586
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96748
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
120208
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10413
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19199
708.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22567
833.3 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6377
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5020
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4764
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4694
81.1 IPS |
