iPhone 17 Pro
Geekbench AI Score
9197
Single Precision Score
17288
Half Precision Score
17897
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:21 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% |
4304
800.5 IPS |
|
|
Image Classification (HP)
|
100% |
8506
1.58 KIPS |
|
|
Image Classification (Q)
|
97% |
7719
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6104
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9612
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10793
175.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20336
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54015
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59656
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
4543
360.4 IPS |
|
|
Object Detection (HP)
|
100% |
8591
681.4 IPS |
|
|
Object Detection (Q)
|
92% |
8452
674.9 IPS |
|
|
Face Detection (SP)
|
100% |
12637
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
26666
316.8 IPS |
|
|
Face Detection (Q)
|
100% |
20201
240.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18133
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35728
275.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38965
304.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44358
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
94611
121.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119990
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18022
665.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21799
804.9 IPS |
|
|
Text Classification (SP)
|
100% |
3502
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6318
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6303
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6127
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6186
106.9 IPS |
