iPhone18,1
Geekbench AI Score
5166
Single Precision Score
36218
Half Precision Score
49746
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 11:08 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2338
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
16251
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22205
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20293
329.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25651
415.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10612
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159338
185.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
294161
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
18150
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25491
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4641
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
40355
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
54103
642.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104610
806.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177754
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
24433
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258820
332.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351483
453.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56861
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87355
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
5929
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5294
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11055
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12538
216.7 IPS |
