iPhone18,3
Geekbench AI Score
4447
Single Precision Score
35166
Half Precision Score
48325
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Penn |
| Upload Date | September 20 2025 04:22 AM |
| Views | 3 |
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% |
2113
393.0 IPS |
|
|
Image Classification (HP)
|
100% |
16058
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
23016
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18684
302.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23032
373.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7877
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
146468
170.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
275853
323.3 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
17297
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25044
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
37927
450.7 IPS |
|
|
Face Detection (Q)
|
100% |
51950
617.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7939
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101242
780.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159419
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20516
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
243589
313.1 IPS |
|
|
Style Transfer (Q)
|
96% |
343176
442.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57662
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84254
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6424
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6431
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10983
189.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12317
212.9 IPS |
