iPhone18,3
Geekbench AI Score
8017
Single Precision Score
15780
Half Precision Score
15662
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3667
682.0 IPS |
|
|
Image Classification (HP)
|
100% |
7286
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6473
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5042
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8796
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9125
147.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18462
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51379
60.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58095
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
3942
312.7 IPS |
|
|
Object Detection (HP)
|
100% |
7508
595.5 IPS |
|
|
Object Detection (Q)
|
93% |
6800
542.5 IPS |
|
|
Face Detection (SP)
|
100% |
9506
113.0 IPS |
|
|
Face Detection (HP)
|
100% |
19469
231.3 IPS |
|
|
Face Detection (Q)
|
100% |
15157
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15995
123.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34465
265.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
35506
277.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39057
50.2 IPS |
|
|
Style Transfer (HP)
|
100% |
91311
117.4 IPS |
|
|
Style Transfer (Q)
|
96% |
106534
137.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9300
343.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18439
680.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19679
726.6 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6205
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6118
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4586
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5527
95.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5516
95.3 IPS |
