iPhone18,2
Geekbench AI Score
9060
Single Precision Score
16818
Half Precision Score
17335
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4306
800.9 IPS |
|
|
Image Classification (HP)
|
100% |
8193
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7476
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5998
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9463
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10521
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20082
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53094
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57884
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
4384
347.7 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8047
642.0 IPS |
|
|
Face Detection (SP)
|
100% |
11544
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
23028
273.6 IPS |
|
|
Face Detection (Q)
|
100% |
17583
208.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17788
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35184
271.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
37852
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43103
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93368
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118418
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10390
383.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19602
723.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22184
819.2 IPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6391
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6365
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5076
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5747
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6012
103.9 IPS |
