iPhone18,3
Geekbench AI Score
5453
Single Precision Score
9644
Half Precision Score
9344
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 02:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 1.61 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2519
468.5 IPS |
|
|
Image Classification (HP)
|
100% |
5165
960.5 IPS |
|
|
Image Classification (Q)
|
97% |
4818
899.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3883
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7571
122.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7380
119.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17945
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32611
38.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
40417
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (HP)
|
100% |
5049
400.5 IPS |
|
|
Object Detection (Q)
|
93% |
3838
306.2 IPS |
|
|
Face Detection (SP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
12620
149.9 IPS |
|
|
Face Detection (Q)
|
100% |
10200
121.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11755
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25827
199.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
26208
204.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38909
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
70411
90.5 IPS |
|
|
Style Transfer (Q)
|
96% |
92490
119.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9081
335.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15920
587.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15081
556.9 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2491
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2489
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
992
17.1 IPS |
