iPhone18,1
Geekbench AI Score
8815
Single Precision Score
16153
Half Precision Score
16447
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 03:41 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4263
792.9 IPS |
|
|
Image Classification (HP)
|
100% |
7998
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7496
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5995
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9472
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10456
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20106
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53268
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
55040
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
4150
329.2 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
7951
634.3 IPS |
|
|
Face Detection (SP)
|
100% |
11584
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
22718
269.9 IPS |
|
|
Face Detection (Q)
|
100% |
17721
210.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17193
132.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35973
277.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
37998
296.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42468
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
85007
109.3 IPS |
|
|
Style Transfer (Q)
|
96% |
102169
131.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9554
352.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19552
722.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21578
796.8 IPS |
|
|
Text Classification (SP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6407
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6380
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4460
77.1 IPS |
