iPhone18,2
Geekbench AI Score
9181
Single Precision Score
17075
Half Precision Score
17670
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 18 2025 08:11 AM |
| Views | 10 |
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% |
4351
809.1 IPS |
|
|
Image Classification (HP)
|
100% |
8107
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7578
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6168
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10643
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20511
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54700
63.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59776
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
4434
351.7 IPS |
|
|
Object Detection (HP)
|
100% |
8170
648.1 IPS |
|
|
Object Detection (Q)
|
93% |
8190
653.4 IPS |
|
|
Face Detection (SP)
|
100% |
11941
141.9 IPS |
|
|
Face Detection (HP)
|
100% |
23470
278.9 IPS |
|
|
Face Detection (Q)
|
100% |
18176
216.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18198
140.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36037
277.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
39356
307.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44189
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96499
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120587
155.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10541
389.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19623
724.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22934
846.9 IPS |
|
|
Text Classification (SP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6287
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6293
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4967
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5953
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6038
104.3 IPS |
