iPhone18,2
Geekbench AI Score
9008
Single Precision Score
16262
Half Precision Score
16887
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 11:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4246
789.6 IPS |
|
|
Image Classification (HP)
|
100% |
7961
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7372
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5986
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9459
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10490
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20063
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53171
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57507
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
4384
347.8 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8040
641.4 IPS |
|
|
Face Detection (SP)
|
100% |
11689
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
22971
272.9 IPS |
|
|
Face Detection (Q)
|
100% |
17957
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17871
137.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35165
270.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38001
296.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43230
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93256
119.9 IPS |
|
|
Style Transfer (Q)
|
96% |
118927
153.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10362
382.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18004
664.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22242
821.3 IPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6359
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4813
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4598
79.5 IPS |
