iPhone18,1
Geekbench AI Score
5159
Single Precision Score
36240
Half Precision Score
49327
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
16121
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22220
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20161
326.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25446
412.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10393
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
158887
185.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292676
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
17251
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24880
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4618
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
41058
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
56865
675.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8367
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106410
819.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167399
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24691
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259012
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
350292
452.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5519
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57275
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85399
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
5990
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5864
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5213
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11298
194.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12406
214.4 IPS |
