iPhone18,1
Geekbench AI Score
5139
Single Precision Score
8444
Half Precision Score
6587
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 04 2025 08:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
3746
696.7 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3409
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10212
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18988
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15850
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
97% |
4222
336.1 IPS |
|
|
Object Detection (Q)
|
94% |
2830
225.6 IPS |
|
|
Face Detection (SP)
|
100% |
4528
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8482
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4371
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8452
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14165
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9884
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24604
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38582
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31527
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5633
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7023
259.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4755
175.6 IPS |
|
|
Text Classification (SP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6635
8.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6605
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9390
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9436
163.1 IPS |
