iPhone18,2
Geekbench AI Score
5166
Single Precision Score
8404
Half Precision Score
6624
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 01:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
3769
701.0 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3445
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11051
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19500
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16757
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
97% |
4176
332.4 IPS |
|
|
Object Detection (Q)
|
94% |
2891
230.4 IPS |
|
|
Face Detection (SP)
|
100% |
4697
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
8552
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
4544
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8392
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14276
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10130
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24489
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37993
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31251
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7109
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4948
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5912
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5317
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9707
167.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9420
162.8 IPS |
