iPhone18,1
Geekbench AI Score
9102
Single Precision Score
16870
Half Precision Score
17580
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 09:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4308
801.1 IPS |
|
|
Image Classification (HP)
|
100% |
8059
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7672
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6042
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9574
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10579
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20306
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53459
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59106
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8082
641.1 IPS |
|
|
Object Detection (Q)
|
93% |
8164
651.3 IPS |
|
|
Face Detection (SP)
|
100% |
11828
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23158
275.2 IPS |
|
|
Face Detection (Q)
|
100% |
17991
213.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18031
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35595
274.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
39070
305.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43437
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
94163
121.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119556
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18815
694.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22515
831.4 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6310
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6032
104.2 IPS |
