iPhone18,3
Geekbench AI Score
8097
Single Precision Score
15793
Half Precision Score
15765
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:38 PM |
| Views | 2 |
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% |
3675
683.5 IPS |
|
|
Image Classification (HP)
|
100% |
7227
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6606
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5042
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8765
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9107
147.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18452
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50997
59.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58261
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
3939
312.4 IPS |
|
|
Object Detection (HP)
|
100% |
7472
592.7 IPS |
|
|
Object Detection (Q)
|
93% |
6784
541.2 IPS |
|
|
Face Detection (SP)
|
100% |
9502
112.9 IPS |
|
|
Face Detection (HP)
|
100% |
19457
231.2 IPS |
|
|
Face Detection (Q)
|
100% |
15164
180.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15933
122.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34415
265.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
35415
276.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38983
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
91161
117.2 IPS |
|
|
Style Transfer (Q)
|
96% |
106543
137.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9243
341.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18309
676.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19589
723.3 IPS |
|
|
Text Classification (SP)
|
100% |
3585
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6460
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6342
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4600
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5541
95.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5613
97.0 IPS |
