iPhone18,1
Geekbench AI Score
5076
Single Precision Score
8173
Half Precision Score
6497
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 30 2025 02:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
3638
676.6 IPS |
|
|
Image Classification (Q)
|
96% |
2414
450.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2968
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10759
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18946
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16301
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
4032
321.0 IPS |
|
|
Object Detection (Q)
|
94% |
2811
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
4575
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8439
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8266
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13774
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9747
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24013
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37073
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30357
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5506
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4849
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5363
92.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9052
156.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9680
167.3 IPS |
