iPhone18,2
Geekbench AI Score
9129
Single Precision Score
16606
Half Precision Score
17211
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 08:33 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% |
4308
801.2 IPS |
|
|
Image Classification (HP)
|
100% |
8146
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7434
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6103
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9589
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10561
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20329
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53965
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59358
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8167
647.8 IPS |
|
|
Object Detection (Q)
|
93% |
8209
654.9 IPS |
|
|
Face Detection (SP)
|
100% |
11892
141.3 IPS |
|
|
Face Detection (HP)
|
100% |
23121
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17941
213.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18068
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35674
274.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
39439
307.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43433
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96423
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119825
154.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10401
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18825
695.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22448
828.9 IPS |
|
|
Text Classification (SP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6498
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6389
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5085
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4904
84.7 IPS |
