iPhone18,1
Geekbench AI Score
5114
Single Precision Score
36389
Half Precision Score
48977
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 02:57 AM |
| 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% |
2380
442.6 IPS |
|
|
Image Classification (HP)
|
100% |
16518
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22306
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20195
327.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24518
397.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9587
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152358
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
278167
326.0 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
17791
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25935
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4505
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
40952
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
51329
609.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104757
807.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163564
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24516
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258542
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351104
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5520
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55442
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86231
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6478
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5336
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11303
194.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12347
213.4 IPS |
