iPhone18,1
Geekbench AI Score
4722
Single Precision Score
7806
Half Precision Score
5796
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:12 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1642
305.4 IPS |
|
|
Image Classification (HP)
|
100% |
2892
537.8 IPS |
|
|
Image Classification (Q)
|
96% |
1121
209.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3069
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9700
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18096
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14423
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
97% |
3934
313.2 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
8072
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
4167
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8131
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13806
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9604
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23443
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36030
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30120
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5359
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6788
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4868
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6337
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6268
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5143
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9436
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8869
153.3 IPS |
