iPhone 17 pro iPhone18,1
Geekbench AI Score
5081
Single Precision Score
8276
Half Precision Score
6511
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | November 16 2025 05:54 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2318
431.0 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.7 IPS |
|
|
Image Classification (Q)
|
96% |
2461
459.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10368
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18880
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15898
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
97% |
4138
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2819
224.7 IPS |
|
|
Face Detection (SP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8193
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4310
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14007
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9780
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23727
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36809
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30479
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5361
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6802
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4956
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6474
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6354
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5256
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9271
160.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8946
154.6 IPS |
