iPhone18,2
Geekbench AI Score
9113
Single Precision Score
16962
Half Precision Score
17584
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 12:53 PM |
| Views | 1 |
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% |
4238
788.1 IPS |
|
|
Image Classification (HP)
|
100% |
8103
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7410
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6078
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9573
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10554
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20383
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54110
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59362
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4422
350.7 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8113
647.3 IPS |
|
|
Face Detection (SP)
|
100% |
11807
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
23120
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
18039
214.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18114
139.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35726
275.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
39336
307.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43657
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96037
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120136
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10436
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18897
697.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22542
832.4 IPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6487
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6476
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5984
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6030
104.2 IPS |
