iPhone18,1
Geekbench AI Score
9148
Single Precision Score
17413
Half Precision Score
17769
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.08 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4345
808.1 IPS |
|
|
Image Classification (HP)
|
100% |
8646
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
7790
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6080
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9633
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10635
172.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20335
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53959
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59335
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4498
356.8 IPS |
|
|
Object Detection (HP)
|
100% |
8561
679.1 IPS |
|
|
Object Detection (Q)
|
92% |
8443
674.2 IPS |
|
|
Face Detection (SP)
|
100% |
12500
148.5 IPS |
|
|
Face Detection (HP)
|
100% |
26330
312.9 IPS |
|
|
Face Detection (Q)
|
100% |
19673
233.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18142
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35896
276.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
39091
305.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43070
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95048
122.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119477
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10413
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19240
710.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21817
805.6 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6438
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6527
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4793
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5987
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5779
99.9 IPS |
