iPhone18,2
Geekbench AI Score
4993
Single Precision Score
36335
Half Precision Score
49227
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Buschiiiii |
| Upload Date | November 14 2025 02:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
16121
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21873
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20195
327.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25070
406.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9537
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
151928
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
285838
335.0 IPS |
|
|
Object Detection (SP)
|
100% |
2517
199.7 IPS |
|
|
Object Detection (HP)
|
100% |
18106
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25427
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4202
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
40512
481.4 IPS |
|
|
Face Detection (Q)
|
100% |
53894
640.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103756
799.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167590
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23730
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
257008
330.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351683
453.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5264
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57623
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84315
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6439
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6430
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5157
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11175
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12176
210.4 IPS |
