iPhone18,2
Geekbench AI Score
9038
Single Precision Score
16292
Half Precision Score
16901
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 01:17 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4242
788.8 IPS |
|
|
Image Classification (HP)
|
100% |
8018
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7390
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5965
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9469
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10541
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20061
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53134
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57657
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
4360
345.9 IPS |
|
|
Object Detection (HP)
|
100% |
8056
639.0 IPS |
|
|
Object Detection (Q)
|
93% |
8028
640.5 IPS |
|
|
Face Detection (SP)
|
100% |
11547
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
22566
268.1 IPS |
|
|
Face Detection (Q)
|
100% |
17716
210.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17805
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35305
272.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37835
295.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43092
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93681
120.4 IPS |
|
|
Style Transfer (Q)
|
96% |
118641
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10378
383.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18044
666.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21976
811.5 IPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6411
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6455
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4990
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4697
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4676
80.8 IPS |
