iPhone18,3
Geekbench AI Score
7960
Single Precision Score
15348
Half Precision Score
15216
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 22 2025 06:29 PM |
| Views | 8 |
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 | 4.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3647
678.2 IPS |
|
|
Image Classification (HP)
|
100% |
7204
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6428
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5051
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8760
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9032
146.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18041
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49607
57.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57600
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.4 IPS |
|
|
Object Detection (HP)
|
100% |
7388
586.0 IPS |
|
|
Object Detection (Q)
|
93% |
6616
527.8 IPS |
|
|
Face Detection (SP)
|
100% |
9087
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
18988
225.6 IPS |
|
|
Face Detection (Q)
|
100% |
14572
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15818
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33577
258.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
35132
274.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38397
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
90088
115.8 IPS |
|
|
Style Transfer (Q)
|
96% |
106129
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9322
344.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18781
693.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19340
714.1 IPS |
|
|
Text Classification (SP)
|
100% |
3349
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
6353
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6252
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4544
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4578
79.1 IPS |
