iPhone18,2
Geekbench AI Score
5182
Single Precision Score
36056
Half Precision Score
48711
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:59 PM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
16049
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21949
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19984
323.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25617
415.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10468
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
159583
186.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297487
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
17362
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25410
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4673
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
41058
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
50573
600.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8658
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104182
802.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160757
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
25432
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
258963
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
350805
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56400
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85535
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6107
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5943
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5254
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10953
188.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12206
210.9 IPS |
