iPhone18,2
Geekbench AI Score
9083
Single Precision Score
16527
Half Precision Score
17129
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 06:49 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% |
4294
798.5 IPS |
|
|
Image Classification (HP)
|
100% |
8001
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7390
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6088
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9583
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10589
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20329
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54131
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59338
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8082
644.8 IPS |
|
|
Face Detection (SP)
|
100% |
11754
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
23113
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17708
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35495
273.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38941
304.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43619
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96047
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119925
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18905
698.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22429
828.2 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6396
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5007
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4761
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4803
83.0 IPS |
