iPhone18,2
Geekbench AI Score
4381
Single Precision Score
7130
Half Precision Score
5574
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andrd |
| Upload Date | October 12 2025 07:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1874
348.5 IPS |
|
|
Image Classification (HP)
|
100% |
2995
557.0 IPS |
|
|
Image Classification (Q)
|
96% |
1973
368.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2651
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2893
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9149
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16488
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14075
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
97% |
3417
272.0 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3813
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
6779
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3654
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7390
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12278
94.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8526
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21645
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32715
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26602
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6187
228.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4309
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8095
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7896
136.5 IPS |
