iPhone18,2
Geekbench AI Score
9011
Single Precision Score
16765
Half Precision Score
17373
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:43 PM |
| Views | 5 |
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% |
4319
803.3 IPS |
|
|
Image Classification (HP)
|
100% |
8022
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7553
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5988
97.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9448
153.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10413
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20059
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53253
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57412
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
4373
346.9 IPS |
|
|
Object Detection (HP)
|
100% |
8131
645.0 IPS |
|
|
Object Detection (Q)
|
93% |
8031
640.7 IPS |
|
|
Face Detection (SP)
|
100% |
11549
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
23116
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17965
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17804
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34879
268.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37890
295.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43020
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93809
120.6 IPS |
|
|
Style Transfer (Q)
|
96% |
118389
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10400
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18906
698.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22351
825.3 IPS |
|
|
Text Classification (SP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6373
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6455
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5866
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5941
102.7 IPS |
