iPhone 17 Pro
Geekbench AI Score
9382
Single Precision Score
17595
Half Precision Score
19006
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 09:57 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4262
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
8549
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
8754
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6085
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9593
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10544
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20267
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53956
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
68023
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
4495
356.5 IPS |
|
|
Object Detection (HP)
|
100% |
8745
693.7 IPS |
|
|
Object Detection (Q)
|
94% |
9527
759.6 IPS |
|
|
Face Detection (SP)
|
100% |
12435
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
26376
313.4 IPS |
|
|
Face Detection (Q)
|
100% |
25315
300.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18087
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33477
257.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38373
299.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44743
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95457
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
122528
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10375
383.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18081
667.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21036
776.8 IPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6272
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6114
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7692
132.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6351
109.8 IPS |
