iPhone 17 Pro iPhone18,1
Geekbench AI Score
5079
Single Precision Score
8198
Half Precision Score
6529
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cuber |
| Upload Date | September 23 2025 08:26 PM |
| Views | 3 |
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% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
3656
679.9 IPS |
|
|
Image Classification (Q)
|
96% |
2462
459.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10323
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18530
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15965
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2535
201.1 IPS |
|
|
Object Detection (HP)
|
97% |
4102
326.5 IPS |
|
|
Object Detection (Q)
|
94% |
2789
222.3 IPS |
|
|
Face Detection (SP)
|
100% |
4476
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
8322
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4253
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8266
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13871
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9864
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23760
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35769
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30373
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5429
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6796
250.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4880
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6461
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5239
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9320
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9417
162.7 IPS |
