iPhone18,1
Geekbench AI Score
9090
Single Precision Score
16586
Half Precision Score
17061
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | felixtong |
| Upload Date | October 01 2025 01:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4287
797.2 IPS |
|
|
Image Classification (HP)
|
100% |
8089
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7535
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6128
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9642
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10562
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20401
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54342
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59728
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
8154
646.7 IPS |
|
|
Object Detection (Q)
|
93% |
8140
649.4 IPS |
|
|
Face Detection (SP)
|
100% |
11561
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
23078
274.2 IPS |
|
|
Face Detection (Q)
|
100% |
17799
211.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17941
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35575
274.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38766
302.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44126
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96437
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120591
155.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10542
389.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19224
709.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22399
827.1 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6466
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6272
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4876
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4633
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4620
79.8 IPS |
