iPhone18,2
Geekbench AI Score
5121
Single Precision Score
36128
Half Precision Score
49070
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 08:19 AM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2314
430.4 IPS |
|
|
Image Classification (HP)
|
100% |
16433
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22283
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19838
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25048
406.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9847
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151395
176.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
276056
323.6 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
17391
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25520
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4538
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
40608
482.5 IPS |
|
|
Face Detection (Q)
|
100% |
51476
611.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8476
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104588
805.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166584
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24567
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259175
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352074
454.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55450
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84954
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6394
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11325
195.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12553
216.9 IPS |
