iPhone18,2
Geekbench AI Score
3914
Single Precision Score
7157
Half Precision Score
7372
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 10:34 PM |
| Views | 7 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4342
807.5 IPS |
|
|
Image Classification (HP)
|
100% |
8081
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7509
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6128
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9640
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10575
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20478
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54457
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59540
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4416
350.2 IPS |
|
|
Object Detection (HP)
|
100% |
8093
641.9 IPS |
|
|
Object Detection (Q)
|
93% |
8113
647.3 IPS |
|
|
Face Detection (SP)
|
100% |
11901
141.4 IPS |
|
|
Face Detection (HP)
|
100% |
23387
277.9 IPS |
|
|
Face Detection (Q)
|
100% |
18130
215.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18147
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35633
274.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
39295
306.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44057
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96098
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120328
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10470
386.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19881
734.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22685
837.6 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6454
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6358
8.53 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
47.0 IPS |
|
|
Machine Translation (HP)
|
0% |
0
64.5 IPS |
|
|
Machine Translation (Q)
|
0% |
0
50.2 IPS |
