iPhone18,3
Geekbench AI Score
4549
Single Precision Score
7671
Half Precision Score
6073
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 05:06 AM |
| Views | 1 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2158
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
3479
647.0 IPS |
|
|
Image Classification (Q)
|
96% |
2354
439.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3287
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9230
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17900
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15152
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.2 IPS |
|
|
Object Detection (HP)
|
97% |
3928
312.7 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7060
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
3899
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8005
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13480
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9367
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21208
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36067
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29630
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6741
248.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4753
175.5 IPS |
|
|
Text Classification (SP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6467
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3998
68.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6661
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6607
114.2 IPS |
