iPhone18,2
Geekbench AI Score
5137
Single Precision Score
36095
Half Precision Score
49122
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | September 26 2025 05:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2362
439.3 IPS |
|
|
Image Classification (HP)
|
100% |
16226
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21926
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20210
327.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25342
410.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10300
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
159742
186.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293893
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
17457
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25234
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4641
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
40743
484.1 IPS |
|
|
Face Detection (Q)
|
100% |
54720
650.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8436
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104570
805.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169779
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24513
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259115
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
352346
454.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5602
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56604
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85918
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5987
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5808
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5273
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10975
189.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12155
210.0 IPS |
