iPhone18,2
Geekbench AI Score
5027
Single Precision Score
36025
Half Precision Score
49330
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | December 10 2025 08:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2310
429.5 IPS |
|
|
Image Classification (HP)
|
100% |
16576
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
21362
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19799
320.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24663
399.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9810
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
146553
171.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
279420
327.5 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
17484
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25451
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4306
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
40944
486.5 IPS |
|
|
Face Detection (Q)
|
100% |
56722
674.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8391
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104336
803.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
170230
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24449
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
256855
330.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352354
454.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5347
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55775
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84716
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6417
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6376
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5212
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11150
192.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12394
214.2 IPS |
