iPhone18,2
Geekbench AI Score
4702
Single Precision Score
9347
Half Precision Score
9353
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 05:15 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4231
786.8 IPS |
|
|
Image Classification (HP)
|
100% |
7991
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7378
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5700
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6423
104.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5941
96.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6773
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
18999
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
21823
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1894
150.2 IPS |
|
|
Object Detection (HP)
|
100% |
4496
356.6 IPS |
|
|
Object Detection (Q)
|
93% |
4314
344.2 IPS |
|
|
Face Detection (SP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
9808
116.5 IPS |
|
|
Face Detection (Q)
|
100% |
6950
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7061
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16419
126.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
19226
150.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14904
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41638
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
42328
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6084
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13251
489.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15656
578.1 IPS |
|
|
Text Classification (SP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3265
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3572
61.7 IPS |
