iPhone 17 Pro
Geekbench AI Score
10006
Single Precision Score
18934
Half Precision Score
20403
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:31 AM |
| Views | 4 |
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% |
4327
804.6 IPS |
|
|
Image Classification (HP)
|
100% |
8756
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
9035
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6113
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9632
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10549
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20272
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53968
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
68313
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
4489
356.1 IPS |
|
|
Object Detection (HP)
|
100% |
8778
696.3 IPS |
|
|
Object Detection (Q)
|
94% |
9651
769.5 IPS |
|
|
Face Detection (SP)
|
100% |
12462
148.1 IPS |
|
|
Face Detection (HP)
|
100% |
26490
314.8 IPS |
|
|
Face Detection (Q)
|
100% |
25335
301.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18084
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33606
258.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38389
299.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44272
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96340
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
122966
158.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10399
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19721
728.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22086
815.5 IPS |
|
|
Text Classification (SP)
|
99% |
6596
8.80 KIPS |
|
|
Text Classification (HP)
|
100% |
11445
15.3 KIPS |
|
|
Text Classification (Q)
|
92% |
11577
15.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
6113
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7659
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6507
112.4 IPS |
