iPhone18,2
Geekbench AI Score
9113
Single Precision Score
16930
Half Precision Score
17527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4259
792.0 IPS |
|
|
Image Classification (HP)
|
100% |
7955
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7390
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6082
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9549
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10573
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20396
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53967
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59465
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8083
644.9 IPS |
|
|
Face Detection (SP)
|
100% |
11848
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
23149
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17970
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18004
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35646
274.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38755
302.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43853
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96056
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120398
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19121
706.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22499
830.8 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6448
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6440
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4945
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5981
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5997
103.6 IPS |
