iPhone18,1
Geekbench AI Score
5077
Single Precision Score
8358
Half Precision Score
6564
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
3674
683.2 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3039
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10267
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19104
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16260
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
97% |
4147
330.2 IPS |
|
|
Object Detection (Q)
|
94% |
2824
225.1 IPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4363
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8329
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14147
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10057
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24556
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37887
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31177
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5466
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7087
261.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4966
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
6071
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5963
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9669
167.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9419
162.8 IPS |
