iPhone18,2
Geekbench AI Score
5097
Single Precision Score
36412
Half Precision Score
49554
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:44 AM |
| Views | 1 |
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 | 4.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.5 IPS |
|
|
Image Classification (HP)
|
100% |
16324
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
20547
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20499
332.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25660
416.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10201
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
155140
181.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
296756
347.8 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.7 IPS |
|
|
Object Detection (HP)
|
100% |
17305
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24260
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
42393
503.7 IPS |
|
|
Face Detection (Q)
|
100% |
59167
703.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105552
813.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
174607
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
24409
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258924
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351070
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5464
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56372
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85358
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6368
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5175
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10895
187.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11934
206.2 IPS |
