iPhone18,1
Geekbench AI Score
9092
Single Precision Score
17037
Half Precision Score
17449
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 04 2025 07:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4261
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
8162
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7542
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6095
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9595
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10532
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20433
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54394
63.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59130
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4344
344.6 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8161
651.1 IPS |
|
|
Face Detection (SP)
|
100% |
11612
138.0 IPS |
|
|
Face Detection (HP)
|
100% |
23103
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17755
211.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17929
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35418
272.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38000
296.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43950
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96287
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
120346
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10428
385.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19574
722.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22966
848.0 IPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6480
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6373
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4894
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5997
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5744
99.3 IPS |
