iPhone18,1
Geekbench AI Score
5156
Single Precision Score
36046
Half Precision Score
48583
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | October 21 2025 05:30 AM |
| Views | 5 |
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% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
16512
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
21221
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19623
318.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25221
408.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10575
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
160899
187.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
299435
351.0 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
17502
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25074
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4650
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
41096
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
51264
609.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8516
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105188
810.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167409
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25282
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259581
333.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351132
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5656
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56583
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85380
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10771
185.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11979
207.0 IPS |
