iPhone18,2
Geekbench AI Score
3901
Single Precision Score
7144
Half Precision Score
7358
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | October 18 2025 02:19 PM |
| Views | 2 |
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% |
4299
799.6 IPS |
|
|
Image Classification (HP)
|
100% |
8091
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7476
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6149
99.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9673
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10618
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20542
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54563
63.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59533
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8149
646.4 IPS |
|
|
Object Detection (Q)
|
93% |
8124
648.1 IPS |
|
|
Face Detection (SP)
|
100% |
11802
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
23350
277.5 IPS |
|
|
Face Detection (Q)
|
100% |
18044
214.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18028
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35911
276.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39055
304.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43959
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96359
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120460
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10470
386.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19387
715.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22521
831.6 IPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6338
8.51 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
46.7 IPS |
|
|
Machine Translation (HP)
|
0% |
0
61.7 IPS |
|
|
Machine Translation (Q)
|
0% |
0
56.1 IPS |
