iPhone18,3
Geekbench AI Score
4679
Single Precision Score
35256
Half Precision Score
48197
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bsarules |
| Upload Date | December 14 2025 04:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2210
411.0 IPS |
|
|
Image Classification (HP)
|
100% |
15778
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22494
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18979
307.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23931
387.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8854
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
160686
187.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
299638
351.2 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
17218
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24379
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
39574
470.2 IPS |
|
|
Face Detection (Q)
|
100% |
49873
592.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8370
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
102110
786.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161169
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22459
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
251179
322.9 IPS |
|
|
Style Transfer (Q)
|
96% |
345075
445.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5445
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55403
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86103
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5918
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4341
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10535
181.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12172
210.3 IPS |
