iPhone18,5
Geekbench AI Score
7296
Single Precision Score
14846
Half Precision Score
15374
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Raymond110168 |
| Upload Date | March 15 2026 10:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone18,5 |
| Model ID | iPhone18,5 |
| Motherboard | V159AP |
| 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 | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3451
641.9 IPS |
|
|
Image Classification (HP)
|
100% |
7115
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
7153
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4255
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7208
116.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7607
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14962
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
42747
49.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
54714
64.1 IPS |
|
|
Object Detection (SP)
|
100% |
3544
281.1 IPS |
|
|
Object Detection (HP)
|
100% |
7202
571.3 IPS |
|
|
Object Detection (Q)
|
93% |
7363
587.3 IPS |
|
|
Face Detection (SP)
|
100% |
9210
109.4 IPS |
|
|
Face Detection (HP)
|
100% |
19596
232.8 IPS |
|
|
Face Detection (Q)
|
100% |
18349
218.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14095
108.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
30797
237.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
32463
253.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31917
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
78322
100.7 IPS |
|
|
Style Transfer (Q)
|
96% |
92707
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8106
299.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16666
615.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16055
592.8 IPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6347
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4667
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6590
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5978
103.3 IPS |
