iPhone18,3
Geekbench AI Score
3458
Single Precision Score
6645
Half Precision Score
6609
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 14 2025 10:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3611
671.6 IPS |
|
|
Image Classification (HP)
|
100% |
7303
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6505
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5020
81.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8732
141.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9065
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18391
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50334
58.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
57907
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3937
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
7426
589.0 IPS |
|
|
Object Detection (Q)
|
93% |
6788
541.6 IPS |
|
|
Face Detection (SP)
|
100% |
9346
111.0 IPS |
|
|
Face Detection (HP)
|
100% |
19202
228.2 IPS |
|
|
Face Detection (Q)
|
100% |
14617
173.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15834
122.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34048
262.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35314
275.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38922
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
90948
116.9 IPS |
|
|
Style Transfer (Q)
|
96% |
106179
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9285
342.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18593
686.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19564
722.4 IPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6372
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6406
8.60 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
40.3 IPS |
|
|
Machine Translation (HP)
|
0% |
0
57.8 IPS |
|
|
Machine Translation (Q)
|
0% |
0
50.3 IPS |
