iPhone18,1
Geekbench AI Score
9130
Single Precision Score
16877
Half Precision Score
17516
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 30 2025 02:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4286
797.0 IPS |
|
|
Image Classification (HP)
|
100% |
8146
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7440
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6096
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9563
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10603
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20368
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54134
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59156
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8119
647.7 IPS |
|
|
Face Detection (SP)
|
100% |
11973
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
23161
275.2 IPS |
|
|
Face Detection (Q)
|
100% |
18038
214.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18075
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35458
273.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
39229
306.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43795
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
95771
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120219
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10427
385.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18679
689.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22535
832.1 IPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6305
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6269
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5940
102.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5973
103.2 IPS |
