iPhone 17 Pro
Geekbench AI Score
10004
Single Precision Score
18914
Half Precision Score
20320
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 11:54 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
4340
807.2 IPS |
|
|
Image Classification (HP)
|
100% |
8767
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
9021
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6125
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9658
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10600
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20340
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53969
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
68236
80.0 IPS |
|
|
Object Detection (SP)
|
100% |
4504
357.3 IPS |
|
|
Object Detection (HP)
|
100% |
8764
695.2 IPS |
|
|
Object Detection (Q)
|
94% |
9679
771.7 IPS |
|
|
Face Detection (SP)
|
100% |
12440
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
26583
315.9 IPS |
|
|
Face Detection (Q)
|
100% |
25516
303.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18066
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33633
259.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38396
299.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44283
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96390
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
122863
158.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19174
708.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21987
811.9 IPS |
|
|
Text Classification (SP)
|
99% |
6496
8.67 KIPS |
|
|
Text Classification (HP)
|
99% |
11344
15.1 KIPS |
|
|
Text Classification (Q)
|
93% |
10913
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
6130
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7809
134.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6580
113.7 IPS |
