iPhone18,1
Geekbench AI Score
9115
Single Precision Score
16548
Half Precision Score
17126
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4294
798.6 IPS |
|
|
Image Classification (HP)
|
100% |
8044
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7495
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6089
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9587
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10577
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20366
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54124
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59063
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8116
647.4 IPS |
|
|
Face Detection (SP)
|
100% |
11745
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
23127
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17967
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17991
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35529
273.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39023
304.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43873
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96632
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119723
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18878
697.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22508
831.1 IPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6379
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6324
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4781
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4783
82.7 IPS |
