iPhone18,2
Geekbench AI Score
5020
Single Precision Score
36276
Half Precision Score
49995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:48 AM |
| Views | 2 |
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% |
2184
406.1 IPS |
|
|
Image Classification (HP)
|
100% |
16476
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22142
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19795
320.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25678
416.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152027
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
296543
347.6 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
17891
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25517
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
40934
486.4 IPS |
|
|
Face Detection (Q)
|
100% |
57450
682.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104544
805.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174039
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
23597
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258515
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350830
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55998
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85230
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6454
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6363
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5303
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11129
191.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11921
206.0 IPS |
