iPhone18,1
Geekbench AI Score
4908
Single Precision Score
8020
Half Precision Score
6356
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | September 26 2025 04:44 AM |
| Views | 10 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2311
429.8 IPS |
|
|
Image Classification (HP)
|
100% |
3639
676.8 IPS |
|
|
Image Classification (Q)
|
96% |
2417
451.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9778
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18067
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15790
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
97% |
3866
307.7 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7918
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4067
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8118
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13500
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9529
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23257
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36767
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29930
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5296
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6773
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4911
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6325
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8512
147.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8639
149.3 IPS |
