iPhone18,1
Geekbench AI Score
5160
Single Precision Score
36214
Half Precision Score
49376
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:41 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% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
16511
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22557
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19727
319.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24507
397.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10507
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
157606
183.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297702
348.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
17509
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24684
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4650
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
41098
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
53486
635.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8177
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105329
811.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171780
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24975
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258452
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352657
455.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56457
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86863
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6196
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6035
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5232
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11031
190.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12485
215.8 IPS |
