iPhone18,2
Geekbench AI Score
8958
Single Precision Score
16553
Half Precision Score
17140
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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
792.1 IPS |
|
|
Image Classification (HP)
|
100% |
7959
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7411
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5926
96.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9392
152.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10300
167.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19899
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
52600
61.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
56530
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
4344
344.6 IPS |
|
|
Object Detection (HP)
|
100% |
8106
643.0 IPS |
|
|
Object Detection (Q)
|
93% |
8038
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
11551
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
22549
267.9 IPS |
|
|
Face Detection (Q)
|
100% |
17885
212.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17687
136.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34561
266.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37806
295.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43104
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93099
119.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117503
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10380
383.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17819
658.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21921
809.4 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6465
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6301
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4791
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5800
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5750
99.4 IPS |
