iPhone18,2
Geekbench AI Score
9191
Single Precision Score
17113
Half Precision Score
17565
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4303
800.3 IPS |
|
|
Image Classification (HP)
|
100% |
8058
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7472
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6144
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9659
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10638
172.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20504
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54532
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59751
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
4420
350.6 IPS |
|
|
Object Detection (HP)
|
100% |
8172
648.2 IPS |
|
|
Object Detection (Q)
|
93% |
8126
648.2 IPS |
|
|
Face Detection (SP)
|
100% |
11970
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
23506
279.3 IPS |
|
|
Face Detection (Q)
|
100% |
18202
216.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18261
140.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35972
277.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
39409
307.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44026
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96977
124.7 IPS |
|
|
Style Transfer (Q)
|
96% |
121571
156.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10538
389.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19432
717.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22717
838.8 IPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6405
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5005
86.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6086
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6081
105.1 IPS |
