iPhone 17 Pro
Geekbench AI Score
4928
Single Precision Score
8071
Half Precision Score
6366
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | January 28 2026 06:07 PM |
| Views | 3 |
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% |
2295
426.7 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.8 IPS |
|
|
Image Classification (Q)
|
96% |
2423
452.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9400
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17119
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14962
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.1 IPS |
|
|
Object Detection (HP)
|
97% |
3929
312.8 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4246
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7775
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4148
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8211
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13485
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9474
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23760
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36379
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30421
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5445
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6899
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4828
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6397
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6382
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5212
89.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9274
160.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9404
162.5 IPS |
