iPhone18,2
Geekbench AI Score
9161
Single Precision Score
16635
Half Precision Score
17133
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | October 17 2025 08:42 AM |
| Views | 7 |
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% |
4210
782.9 IPS |
|
|
Image Classification (HP)
|
100% |
8151
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7547
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6139
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9693
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10630
172.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20496
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54564
63.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59765
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
4418
350.4 IPS |
|
|
Object Detection (HP)
|
100% |
8153
646.7 IPS |
|
|
Object Detection (Q)
|
93% |
8097
645.9 IPS |
|
|
Face Detection (SP)
|
100% |
11926
141.7 IPS |
|
|
Face Detection (HP)
|
100% |
23225
276.0 IPS |
|
|
Face Detection (Q)
|
100% |
18018
214.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18240
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35809
275.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
39577
309.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44075
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96419
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120939
156.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10473
386.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19322
713.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22640
836.0 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6341
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5025
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4701
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4715
81.5 IPS |
