iPhone18,1
Geekbench AI Score
5112
Single Precision Score
36191
Half Precision Score
48939
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 02:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
16241
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22398
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20274
328.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25762
417.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10604
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
157551
183.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
286207
335.5 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
17926
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25104
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4643
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
40983
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
53059
630.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8357
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105315
811.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163847
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24334
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258909
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350459
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5501
203.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55730
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86120
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5842
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11159
192.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12401
214.3 IPS |
