iPhone18,2
Geekbench AI Score
9150
Single Precision Score
16716
Half Precision Score
17218
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 20 2025 12:50 AM |
| Views | 6 |
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% |
4291
797.9 IPS |
|
|
Image Classification (HP)
|
100% |
8172
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7483
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6093
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9560
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10588
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20295
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53982
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59219
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8137
645.5 IPS |
|
|
Object Detection (Q)
|
93% |
8046
641.9 IPS |
|
|
Face Detection (SP)
|
100% |
11818
140.4 IPS |
|
|
Face Detection (HP)
|
100% |
23094
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17967
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18036
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35558
274.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39211
306.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43715
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96368
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120457
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10436
385.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20030
739.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22652
836.4 IPS |
|
|
Text Classification (SP)
|
100% |
3615
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6810
9.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6785
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5009
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4600
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4652
80.4 IPS |
