iPhone18,1
Geekbench AI Score
5103
Single Precision Score
36137
Half Precision Score
49092
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 06:00 AM |
| Views | 2 |
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% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
16089
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22037
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20288
328.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24844
402.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9660
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
150328
175.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
285442
334.6 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
17773
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25203
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
40466
480.8 IPS |
|
|
Face Detection (Q)
|
100% |
53713
638.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104806
807.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163414
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24457
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258459
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350421
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5563
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56549
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84880
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6326
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5405
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11002
189.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12501
216.0 IPS |
