iPhone18,2
Geekbench AI Score
5204
Single Precision Score
8479
Half Precision Score
6676
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 22 2025 01:41 PM |
| Views | 5 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2353
437.5 IPS |
|
|
Image Classification (HP)
|
100% |
3758
698.9 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3076
49.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3458
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10892
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19701
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16527
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4241
337.6 IPS |
|
|
Object Detection (Q)
|
94% |
2833
225.8 IPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8499
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4527
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14435
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10288
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25154
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38949
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31856
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6945
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6239
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6160
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5324
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9607
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9512
164.4 IPS |
