iPhone18,2
Geekbench AI Score
5138
Single Precision Score
8402
Half Precision Score
6630
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 03:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2344
435.9 IPS |
|
|
Image Classification (HP)
|
100% |
3777
702.4 IPS |
|
|
Image Classification (Q)
|
96% |
2513
469.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3448
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10429
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19499
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16572
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.2 IPS |
|
|
Object Detection (HP)
|
97% |
4205
334.7 IPS |
|
|
Object Detection (Q)
|
94% |
2885
230.0 IPS |
|
|
Face Detection (SP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8543
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4413
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8514
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14321
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24952
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39197
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32090
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7005
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5917
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5325
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9193
158.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9252
159.9 IPS |
