iPhone18,3
Geekbench AI Score
4422
Single Precision Score
35126
Half Precision Score
48345
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:30 AM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
15807
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22652
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18833
305.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23570
382.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8090
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
148340
173.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
277971
325.8 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
17220
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24505
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
39087
464.4 IPS |
|
|
Face Detection (Q)
|
100% |
51130
607.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8009
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100512
774.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
170816
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
19804
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244245
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
342559
442.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5126
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55632
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85956
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6429
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6384
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10958
188.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11683
201.9 IPS |
