iPhone18,1
Geekbench AI Score
4957
Single Precision Score
8153
Half Precision Score
6345
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | richh- |
| Upload Date | October 06 2025 07:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.4 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
2452
457.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2985
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9832
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18298
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15267
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
4065
323.6 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7904
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4015
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8026
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13809
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9428
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23383
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36446
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29887
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5358
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6792
250.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4853
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6398
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6319
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5036
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9181
158.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9255
159.9 IPS |
