iPhone18,1
Geekbench AI Score
5141
Single Precision Score
8351
Half Precision Score
6559
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | nathanjliu |
| Upload Date | October 31 2025 07:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (Q)
|
96% |
2452
457.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10616
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18958
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16275
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2596
206.0 IPS |
|
|
Object Detection (HP)
|
97% |
4137
329.3 IPS |
|
|
Object Detection (Q)
|
94% |
2806
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
4554
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8397
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4334
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14224
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9802
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24393
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37562
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30949
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7005
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4950
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6389
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6433
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9426
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9255
159.9 IPS |
