iPhone 17 Pro
Geekbench AI Score
5019
Single Precision Score
8174
Half Precision Score
6444
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:39 PM |
| Views | 13 |
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% |
2261
420.5 IPS |
|
|
Image Classification (HP)
|
100% |
3643
677.5 IPS |
|
|
Image Classification (Q)
|
96% |
2409
449.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10188
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18321
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15582
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2526
200.3 IPS |
|
|
Object Detection (HP)
|
97% |
4054
322.8 IPS |
|
|
Object Detection (Q)
|
94% |
2745
218.8 IPS |
|
|
Face Detection (SP)
|
100% |
4426
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
8212
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4274
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8148
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13883
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9773
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23551
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36308
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30050
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5371
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6784
250.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6322
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6253
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5268
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9306
160.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9270
160.2 IPS |
