iPhone18,2
Geekbench AI Score
9172
Single Precision Score
16976
Half Precision Score
17535
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 11:44 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% |
4318
803.1 IPS |
|
|
Image Classification (HP)
|
100% |
8012
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7423
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6123
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9642
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10611
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20507
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54483
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59609
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8114
647.3 IPS |
|
|
Face Detection (SP)
|
100% |
11937
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
23411
278.2 IPS |
|
|
Face Detection (Q)
|
100% |
18072
214.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18230
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35839
276.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
39642
309.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43996
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
97093
124.8 IPS |
|
|
Style Transfer (Q)
|
96% |
121460
156.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10439
385.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19089
704.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22541
832.3 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6266
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6074
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6002
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6058
104.7 IPS |
