iPhone18,3
Geekbench AI Score
4609
Single Precision Score
35166
Half Precision Score
47997
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 03:04 PM |
| Views | 5 |
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% |
2182
405.7 IPS |
|
|
Image Classification (HP)
|
100% |
15757
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
21177
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18881
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24004
389.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8701
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160516
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
299213
350.7 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.8 IPS |
|
|
Object Detection (HP)
|
100% |
17280
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24264
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
38114
452.9 IPS |
|
|
Face Detection (Q)
|
100% |
51651
613.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8232
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101931
785.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159246
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21916
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
253333
325.7 IPS |
|
|
Style Transfer (Q)
|
96% |
343694
443.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5556
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54905
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84293
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6148
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6228
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4087
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10550
181.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11848
204.8 IPS |
