iPhone18,1
Geekbench AI Score
5102
Single Precision Score
36162
Half Precision Score
49336
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
16062
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22546
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19811
321.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25747
417.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
156799
183.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294632
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
17428
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24263
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4535
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
40856
485.5 IPS |
|
|
Face Detection (Q)
|
100% |
53841
639.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8386
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104376
804.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
173184
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24498
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
257511
331.0 IPS |
|
|
Style Transfer (Q)
|
96% |
349800
451.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5627
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57107
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84990
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6180
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10925
188.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12018
207.7 IPS |
