iPhone18,3
Geekbench AI Score
4688
Single Precision Score
35671
Half Precision Score
48139
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 04:52 AM |
| Views | 2 |
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% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
15718
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
21301
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18844
305.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23976
388.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9962
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160269
187.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
299321
350.8 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.3 IPS |
|
|
Object Detection (HP)
|
100% |
17538
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24488
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
40110
476.6 IPS |
|
|
Face Detection (Q)
|
100% |
51325
609.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8212
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102328
788.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166029
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
22324
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
252290
324.3 IPS |
|
|
Style Transfer (Q)
|
96% |
345237
445.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5466
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57997
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83739
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6332
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6128
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10536
181.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11828
204.4 IPS |
