iPhone18,1
Geekbench AI Score
9073
Single Precision Score
16808
Half Precision Score
17428
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | deleavell |
| Upload Date | December 26 2025 04:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4237
787.9 IPS |
|
|
Image Classification (HP)
|
100% |
8005
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7539
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6046
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9493
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10455
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20192
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53462
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58175
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8093
645.7 IPS |
|
|
Face Detection (SP)
|
100% |
11740
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
23139
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
17964
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17875
137.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35364
272.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38202
298.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43189
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95290
122.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119355
154.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10403
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18615
687.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22417
827.8 IPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6313
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6293
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5985
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6030
104.2 IPS |
