iPhone 17 Pro
Geekbench AI Score
9417
Single Precision Score
17618
Half Precision Score
19101
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:51 AM |
| Views | 9 |
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% |
4302
800.0 IPS |
|
|
Image Classification (HP)
|
100% |
8627
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
8849
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6126
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9598
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10556
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20366
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54154
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
68065
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
4522
358.7 IPS |
|
|
Object Detection (HP)
|
100% |
8762
695.0 IPS |
|
|
Object Detection (Q)
|
94% |
9642
768.8 IPS |
|
|
Face Detection (SP)
|
100% |
12520
148.8 IPS |
|
|
Face Detection (HP)
|
100% |
26208
311.4 IPS |
|
|
Face Detection (Q)
|
100% |
25481
302.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18147
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33552
258.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38198
298.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44497
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95213
122.4 IPS |
|
|
Style Transfer (Q)
|
96% |
122566
158.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10425
384.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18146
670.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21518
794.6 IPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6339
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6123
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7615
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6354
109.8 IPS |
