iPhone18,1
Geekbench AI Score
5170
Single Precision Score
35838
Half Precision Score
49166
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 06:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
16065
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22270
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20149
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25502
413.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10243
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
157548
183.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
295915
346.8 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
17183
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
25181
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4632
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
41103
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
54626
649.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8582
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104972
808.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
168368
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25079
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258536
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350689
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5654
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56222
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85337
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5975
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5353
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10896
187.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11861
205.0 IPS |
