iPhone18,2
Geekbench AI Score
9086
Single Precision Score
16980
Half Precision Score
17442
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:17 AM |
| 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% |
4271
794.3 IPS |
|
|
Image Classification (HP)
|
100% |
8200
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
7500
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6078
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9567
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10584
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20283
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53971
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58817
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8054
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
11623
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
23121
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17803
211.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17890
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35745
275.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38234
298.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43669
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
95922
123.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119708
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18955
699.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22500
830.8 IPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6425
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6269
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5014
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6036
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6032
104.2 IPS |
