iPhone18,2
Geekbench AI Score
5124
Single Precision Score
8326
Half Precision Score
6531
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 04:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
3683
685.0 IPS |
|
|
Image Classification (Q)
|
96% |
2451
457.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3429
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10154
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19063
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16264
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
97% |
4136
329.2 IPS |
|
|
Object Detection (Q)
|
94% |
2820
224.8 IPS |
|
|
Face Detection (SP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
8234
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
4375
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14181
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9930
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24540
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37721
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31192
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5569
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4984
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5789
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5207
89.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9568
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9381
162.1 IPS |
