iPhone18,3
Geekbench AI Score
8090
Single Precision Score
15843
Half Precision Score
15723
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 05:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3652
679.1 IPS |
|
|
Image Classification (HP)
|
100% |
7417
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6525
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5071
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8799
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9121
147.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18421
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51056
59.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
58257
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
3941
312.6 IPS |
|
|
Object Detection (HP)
|
100% |
7451
591.0 IPS |
|
|
Object Detection (Q)
|
93% |
6790
541.7 IPS |
|
|
Face Detection (SP)
|
100% |
9452
112.3 IPS |
|
|
Face Detection (HP)
|
100% |
19402
230.5 IPS |
|
|
Face Detection (Q)
|
100% |
15174
180.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15967
123.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34499
265.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35444
276.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39126
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
90953
116.9 IPS |
|
|
Style Transfer (Q)
|
96% |
106533
137.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9268
342.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18431
680.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19477
719.2 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6416
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6382
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4604
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5576
96.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5508
95.2 IPS |
