iPhone18,1
Geekbench AI Score
9001
Single Precision Score
16116
Half Precision Score
16713
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 03:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.22 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4295
798.8 IPS |
|
|
Image Classification (HP)
|
100% |
7986
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7517
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6009
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9356
151.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10314
167.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20240
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53597
62.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58310
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
4179
331.5 IPS |
|
|
Object Detection (HP)
|
100% |
7434
589.6 IPS |
|
|
Object Detection (Q)
|
93% |
7410
591.1 IPS |
|
|
Face Detection (SP)
|
100% |
11494
136.6 IPS |
|
|
Face Detection (HP)
|
100% |
22239
264.2 IPS |
|
|
Face Detection (Q)
|
100% |
17881
212.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17703
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34183
263.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
36912
288.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43666
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
94818
121.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119096
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10262
378.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18306
676.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21628
798.6 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6299
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4985
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4692
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4741
81.9 IPS |
