iPhone18,1
Geekbench AI Score
5192
Single Precision Score
36416
Half Precision Score
49371
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 04:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2351
437.3 IPS |
|
|
Image Classification (HP)
|
100% |
16429
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21021
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20324
329.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25522
413.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10678
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160509
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
297389
348.6 IPS |
|
|
Object Detection (SP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (HP)
|
100% |
17769
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25177
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4697
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
40297
478.8 IPS |
|
|
Face Detection (Q)
|
100% |
55718
662.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8677
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104985
808.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
165671
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24781
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258854
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351374
453.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5626
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57439
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88485
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6257
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5310
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10943
188.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12138
209.8 IPS |
