iPhone18,2
Geekbench AI Score
5098
Single Precision Score
36056
Half Precision Score
49151
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | wellwhatthen |
| Upload Date | October 11 2025 03:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
16192
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21260
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19742
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25257
409.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10235
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
160409
187.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297918
349.2 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
17271
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25224
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
40673
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
57255
680.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106357
819.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160686
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24339
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259735
333.9 IPS |
|
|
Style Transfer (Q)
|
96% |
352976
455.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5409
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56013
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84831
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6092
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6165
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10937
188.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12009
207.5 IPS |
