iPhone18,2
Geekbench AI Score
5053
Single Precision Score
36128
Half Precision Score
49583
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 03:02 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 | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2300
427.7 IPS |
|
|
Image Classification (HP)
|
100% |
16163
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
23224
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19442
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24876
403.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9586
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153527
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
286171
335.4 IPS |
|
|
Object Detection (SP)
|
100% |
2555
202.7 IPS |
|
|
Object Detection (HP)
|
100% |
17647
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25508
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4399
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
41330
491.1 IPS |
|
|
Face Detection (Q)
|
100% |
54678
649.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8317
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104486
805.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165759
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24308
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
257642
331.2 IPS |
|
|
Style Transfer (Q)
|
96% |
353279
455.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5594
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55578
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85660
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6388
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6490
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5241
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11267
194.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11965
206.8 IPS |
