iPhone18,2
Geekbench AI Score
9081
Single Precision Score
16563
Half Precision Score
17167
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 04:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.22 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4212
783.3 IPS |
|
|
Image Classification (HP)
|
100% |
8028
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7564
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6084
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9564
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10582
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20422
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54265
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59829
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8152
646.6 IPS |
|
|
Object Detection (Q)
|
93% |
8099
646.1 IPS |
|
|
Face Detection (SP)
|
100% |
11950
142.0 IPS |
|
|
Face Detection (HP)
|
100% |
23212
275.8 IPS |
|
|
Face Detection (Q)
|
100% |
18261
217.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17971
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35700
275.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38814
303.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44020
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96371
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120750
155.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19219
709.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22712
838.7 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6262
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6203
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5131
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4754
82.1 IPS |
