iPhone18,2
Geekbench AI Score
5143
Single Precision Score
36122
Half Precision Score
49006
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:15 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
16237
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22316
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20080
325.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25098
406.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10484
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
159229
185.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297618
348.8 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
17381
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25300
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4600
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
40998
487.1 IPS |
|
|
Face Detection (Q)
|
100% |
53391
634.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8470
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105501
812.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
163225
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24675
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259278
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
348378
449.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5599
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56446
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87164
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6071
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5993
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5309
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10908
187.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11946
206.4 IPS |
