iPhone18,2
Geekbench AI Score
9093
Single Precision Score
16521
Half Precision Score
17054
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:18 AM |
| Views | 1 |
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% |
4261
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
7949
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7555
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6048
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9510
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10536
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20178
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53455
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58221
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4396
348.7 IPS |
|
|
Object Detection (HP)
|
100% |
8102
642.7 IPS |
|
|
Object Detection (Q)
|
93% |
8029
640.5 IPS |
|
|
Face Detection (SP)
|
100% |
11560
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
23084
274.3 IPS |
|
|
Face Detection (Q)
|
100% |
17706
210.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17846
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35509
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38164
298.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43160
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95119
122.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119299
154.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10408
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18603
686.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22416
827.7 IPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6565
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5199
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4860
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4874
84.2 IPS |
