iPhone18,2
Geekbench AI Score
5150
Single Precision Score
8489
Half Precision Score
6637
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jiashu |
| Upload Date | September 20 2025 02:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
3758
698.8 IPS |
|
|
Image Classification (Q)
|
96% |
2477
462.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3129
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3419
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10480
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19201
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16282
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2531
200.7 IPS |
|
|
Object Detection (HP)
|
97% |
4212
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2833
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
4402
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
8361
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
4301
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8397
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14232
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9985
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24734
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38722
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31627
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5638
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3583
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6539
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6533
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5307
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9448
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9451
163.3 IPS |
