iPhone18,1
Geekbench AI Score
5065
Single Precision Score
8262
Half Precision Score
6506
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2320
431.4 IPS |
|
|
Image Classification (HP)
|
100% |
3666
681.8 IPS |
|
|
Image Classification (Q)
|
96% |
2455
458.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10127
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18490
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15525
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2535
201.1 IPS |
|
|
Object Detection (HP)
|
97% |
4080
324.9 IPS |
|
|
Object Detection (Q)
|
94% |
2756
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
4398
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
8162
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
4209
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8352
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13788
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9875
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23952
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36918
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30579
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5354
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6909
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4911
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6571
8.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6358
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5241
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9201
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9513
164.4 IPS |
