iPhone18,1
Geekbench AI Score
8922
Single Precision Score
16084
Half Precision Score
16614
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | September 26 2025 04:41 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4097
761.9 IPS |
|
|
Image Classification (HP)
|
100% |
7359
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6900
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6037
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9428
152.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10526
170.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20018
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53351
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58404
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
4346
344.7 IPS |
|
|
Object Detection (HP)
|
100% |
8035
637.3 IPS |
|
|
Object Detection (Q)
|
93% |
7837
625.2 IPS |
|
|
Face Detection (SP)
|
100% |
11552
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
22438
266.6 IPS |
|
|
Face Detection (Q)
|
100% |
17645
209.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17682
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34943
269.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37874
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43435
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
93207
119.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119204
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10402
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19238
710.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21878
807.8 IPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6314
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4345
74.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4382
75.7 IPS |
