iPhone18,1
Geekbench AI Score
5125
Single Precision Score
8382
Half Precision Score
6561
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 10:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
3755
698.4 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10417
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19073
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16128
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
97% |
4176
332.5 IPS |
|
|
Object Detection (Q)
|
94% |
2794
222.7 IPS |
|
|
Face Detection (SP)
|
100% |
4462
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
8467
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4298
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8275
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14174
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9880
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24645
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38019
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31350
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6935
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4950
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6469
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6124
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5338
91.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9342
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9475
163.7 IPS |
