iPhone18,1
Geekbench AI Score
9049
Single Precision Score
16369
Half Precision Score
16971
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 02:22 PM |
| Views | 2 |
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% |
4241
788.6 IPS |
|
|
Image Classification (HP)
|
100% |
8019
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7519
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6009
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9478
153.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10465
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20209
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53401
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58151
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8083
641.1 IPS |
|
|
Object Detection (Q)
|
93% |
8041
641.5 IPS |
|
|
Face Detection (SP)
|
100% |
11611
138.0 IPS |
|
|
Face Detection (HP)
|
100% |
23098
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17812
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35009
269.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38078
297.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43212
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95577
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119109
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18362
678.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22324
824.3 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6388
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6372
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4929
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4644
80.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4649
80.3 IPS |
