iPhone 17 Pro
Geekbench AI Score
4589
Single Precision Score
7812
Half Precision Score
6183
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 15 2026 04:24 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| 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% |
2308
429.2 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.3 IPS |
|
|
Image Classification (Q)
|
96% |
2089
390.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2959
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3276
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8878
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16914
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15238
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2464
196.4 IPS |
|
|
Face Detection (SP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
8107
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
4104
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8227
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13854
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9751
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23221
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34547
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30706
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5638
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6111
225.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4820
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6474
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5163
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7768
134.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8456
146.1 IPS |
