iPhone18,1
Geekbench AI Score
5114
Single Precision Score
8335
Half Precision Score
6534
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
3699
687.8 IPS |
|
|
Image Classification (Q)
|
96% |
2418
451.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10282
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19013
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16107
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
97% |
4146
330.0 IPS |
|
|
Object Detection (Q)
|
94% |
2787
222.2 IPS |
|
|
Face Detection (SP)
|
100% |
4472
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8279
98.4 IPS |
|
|
Face Detection (Q)
|
100% |
4254
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14027
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9904
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24235
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37415
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30634
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5338
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6946
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4878
180.1 IPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6436
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5301
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9344
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9384
162.2 IPS |
