iPhone18,3
Geekbench AI Score
4666
Single Precision Score
7864
Half Precision Score
6303
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 02:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2175
404.4 IPS |
|
|
Image Classification (HP)
|
100% |
3494
649.7 IPS |
|
|
Image Classification (Q)
|
96% |
2368
442.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2988
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9932
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19158
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16394
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.3 IPS |
|
|
Object Detection (HP)
|
97% |
4043
321.8 IPS |
|
|
Object Detection (Q)
|
94% |
2813
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
3715
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7154
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4224
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8193
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13977
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9943
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21716
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37892
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30985
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5514
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6871
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4927
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6164
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6042
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4108
70.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6976
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6987
120.7 IPS |
