iPhone18,2
Geekbench AI Score
9027
Single Precision Score
16361
Half Precision Score
16926
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 05:19 PM |
| Views | 2 |
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% |
4277
795.4 IPS |
|
|
Image Classification (HP)
|
100% |
7942
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7396
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5981
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9469
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10462
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20015
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53103
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57422
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
4393
348.5 IPS |
|
|
Object Detection (HP)
|
100% |
8184
649.2 IPS |
|
|
Object Detection (Q)
|
93% |
8038
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
11564
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
22914
272.3 IPS |
|
|
Face Detection (Q)
|
100% |
17709
210.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17807
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35423
272.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37940
296.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43205
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93499
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118529
153.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18168
670.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22147
817.8 IPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6329
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6489
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4973
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4820
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4722
81.6 IPS |
