iPhone18,1
Geekbench AI Score
9080
Single Precision Score
16581
Half Precision Score
17025
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | halans |
| Upload Date | September 19 2025 03:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4259
792.1 IPS |
|
|
Image Classification (HP)
|
100% |
8059
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7503
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6063
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9527
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10554
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20162
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53804
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58281
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
4397
348.7 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11605
137.9 IPS |
|
|
Face Detection (HP)
|
100% |
23121
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17714
210.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17844
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35421
272.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37862
295.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43186
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95345
122.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119771
154.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10408
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19172
707.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22274
822.5 IPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6499
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6374
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5047
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4842
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4838
83.6 IPS |
