iPhone18,1
Geekbench AI Score
5036
Single Precision Score
36257
Half Precision Score
49272
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2314
430.4 IPS |
|
|
Image Classification (HP)
|
100% |
16029
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21356
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20401
330.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25970
421.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9932
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
149329
174.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
287984
337.5 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
100% |
17376
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24814
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4395
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
41139
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
56954
676.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104580
805.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
163481
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23788
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259284
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350475
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5386
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59519
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83764
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6326
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6273
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5254
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11017
189.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12410
214.5 IPS |
