iPhone18,1
Geekbench AI Score
5144
Single Precision Score
36186
Half Precision Score
49277
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
16097
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22303
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20134
326.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25084
406.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10281
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
158904
185.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
297647
348.9 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.3 IPS |
|
|
Object Detection (HP)
|
100% |
17462
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24733
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4616
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
41121
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
55901
664.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106697
822.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167969
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24742
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258963
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
352679
455.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5693
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56497
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85404
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6038
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5771
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11047
190.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12560
217.1 IPS |
