iPhone18,5
Geekbench AI Score
3644
Single Precision Score
6276
Half Precision Score
4948
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 17 2026 03:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1771
329.4 IPS |
|
|
Image Classification (HP)
|
100% |
3002
558.2 IPS |
|
|
Image Classification (Q)
|
96% |
1961
366.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2410
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6561
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
12670
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9803
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1979
157.0 IPS |
|
|
Object Detection (HP)
|
97% |
3161
251.7 IPS |
|
|
Object Detection (Q)
|
94% |
2235
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5696
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6855
52.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12001
92.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8216
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18420
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32019
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27077
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4532
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6558
242.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4317
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5393
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4286
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5268
91.0 IPS |
