iPhone18,3
Geekbench AI Score
4674
Single Precision Score
35542
Half Precision Score
48592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:56 AM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2218
412.4 IPS |
|
|
Image Classification (HP)
|
100% |
15816
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22515
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19003
308.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24513
397.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8700
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
155514
181.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
287226
336.6 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
17273
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24582
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
38894
462.1 IPS |
|
|
Face Detection (Q)
|
100% |
50027
594.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8236
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101250
780.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161831
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21887
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
251868
323.8 IPS |
|
|
Style Transfer (Q)
|
96% |
345420
445.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56071
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85772
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6435
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6355
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4293
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11134
191.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12358
213.6 IPS |
