iPhone18,2
Geekbench AI Score
9019
Single Precision Score
16322
Half Precision Score
16957
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 06:40 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4231
786.8 IPS |
|
|
Image Classification (HP)
|
100% |
7929
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7405
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5945
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9410
152.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10473
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19995
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53253
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57563
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4383
347.7 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8037
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11550
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
22722
270.0 IPS |
|
|
Face Detection (Q)
|
100% |
17671
210.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17797
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35299
272.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37870
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43228
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93568
120.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118505
152.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10387
383.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18242
673.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22056
814.4 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6476
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6530
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4721
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4797
82.9 IPS |
