iPhone18,2
Geekbench AI Score
9083
Single Precision Score
16592
Half Precision Score
17098
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jiashu |
| Upload Date | September 20 2025 02:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4244
789.3 IPS |
|
|
Image Classification (HP)
|
100% |
8100
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7577
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6011
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9485
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10480
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20103
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53352
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57781
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
4372
346.8 IPS |
|
|
Object Detection (HP)
|
100% |
8101
642.6 IPS |
|
|
Object Detection (Q)
|
93% |
8053
642.4 IPS |
|
|
Face Detection (SP)
|
100% |
11580
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
22723
270.0 IPS |
|
|
Face Detection (Q)
|
100% |
17774
211.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17837
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35273
271.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
37881
295.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42371
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95716
123.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118873
153.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19355
714.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22335
824.7 IPS |
|
|
Text Classification (SP)
|
100% |
3598
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6750
9.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6758
9.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5207
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4753
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4784
82.7 IPS |
