iPhone18,2
Geekbench AI Score
4827
Single Precision Score
9699
Half Precision Score
9706
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% |
4142
770.2 IPS |
|
|
Image Classification (HP)
|
100% |
7922
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7320
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5983
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9430
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9300
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7259
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
17939
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20624
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
4408
349.6 IPS |
|
|
Object Detection (Q)
|
93% |
4500
359.0 IPS |
|
|
Face Detection (SP)
|
100% |
4283
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
9737
115.7 IPS |
|
|
Face Detection (Q)
|
100% |
8001
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7039
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16276
125.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
23077
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17048
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37800
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
42222
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6161
227.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16306
602.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10932
403.7 IPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3565
61.6 IPS |
