iPhone18,2
Geekbench AI Score
5150
Single Precision Score
8379
Half Precision Score
6557
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Buschiiiii |
| Upload Date | November 14 2025 02:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.1 IPS |
|
|
Image Classification (Q)
|
96% |
2436
454.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2987
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10520
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18943
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15997
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2588
205.3 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2767
220.6 IPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8350
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
4320
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8476
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14199
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9901
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24506
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37459
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30751
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5383
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7072
261.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4959
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6615
8.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6391
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5408
93.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9357
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9522
164.6 IPS |
