iPhone18,3
Geekbench AI Score
3662
Single Precision Score
29428
Half Precision Score
41577
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jkochar |
| Upload Date | October 05 2025 12:38 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
16038
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
22779
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18690
303.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23075
374.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6711
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
133871
156.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
198861
233.1 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
15243
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
22581
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
2385
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
32303
383.8 IPS |
|
|
Face Detection (Q)
|
100% |
52457
623.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7607
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
79554
612.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
124036
969.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15842
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
143104
184.0 IPS |
|
|
Style Transfer (Q)
|
96% |
236771
305.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48230
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74757
2.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2941
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8489
146.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9669
167.1 IPS |
