iPhone18,1
Geekbench AI Score
5227
Single Precision Score
36152
Half Precision Score
49162
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | November 01 2025 07:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2347
436.5 IPS |
|
|
Image Classification (HP)
|
100% |
16095
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21504
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19894
322.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26881
435.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10818
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160383
187.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
297472
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.7 IPS |
|
|
Object Detection (HP)
|
100% |
17282
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24879
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4713
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
40544
481.7 IPS |
|
|
Face Detection (Q)
|
100% |
53738
638.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8659
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104837
807.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162226
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
25471
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
258909
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350718
452.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56863
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84825
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6174
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6131
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5307
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11123
191.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12126
209.6 IPS |
