iPhone18,1
Geekbench AI Score
5028
Single Precision Score
8291
Half Precision Score
6510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | skyzyx |
| Upload Date | September 20 2025 06:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
3754
698.1 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3138
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9814
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18348
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15548
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
4051
322.5 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4275
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
8026
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
4140
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8223
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13669
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9721
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23660
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37813
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30401
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6872
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6570
8.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6723
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5239
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9364
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9356
161.7 IPS |
