iPhone18,2
Geekbench AI Score
9137
Single Precision Score
16562
Half Precision Score
17173
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gbuenoandrade |
| Upload Date | September 20 2025 10:44 PM |
| Views | 2 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4270
794.2 IPS |
|
|
Image Classification (HP)
|
100% |
8068
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7557
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6101
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9645
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10649
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20387
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54067
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59166
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8093
641.9 IPS |
|
|
Object Detection (Q)
|
93% |
8068
643.7 IPS |
|
|
Face Detection (SP)
|
100% |
11820
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23105
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17970
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18089
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35540
273.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
39094
305.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44047
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95837
123.2 IPS |
|
|
Style Transfer (Q)
|
96% |
120124
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18878
697.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22384
826.5 IPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6385
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6366
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5041
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4808
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4830
83.5 IPS |
